Upload Bark-small model duplicated from suno/bark-small
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- .gitattributes +2 -0
- .locks/models--suno--bark-small/3c076663001cdfcc4b7805ac7d17aa74fcb84bf0.lock +0 -0
- .locks/models--suno--bark-small/4a52e32e1487adc051a57c66e18a891c6b7668231469e860e110d12d75e12c74.lock +0 -0
- .locks/models--suno--bark-small/82654c5189e5c83867e61b1186c2fe364e3c9bd0.lock +0 -0
- .locks/models--suno--bark-small/e602b1fa2372be3ada89135f477e300a57b3f21a.lock +0 -0
- .locks/models--suno--bark-small/f0f7f16b24f65789ce42b3c491aa6a1cdf219f7ef425066fcd194485245e65d9.lock +0 -0
- config.json +104 -0
- generation_config.json +173 -0
- model.safetensors +3 -0
- models--suno--bark-small/.no_exist/1dbd7a128513b8ae4a4e2130fed57b7ac9da5bcd/adapter_config.json +0 -0
- models--suno--bark-small/.no_exist/1dbd7a128513b8ae4a4e2130fed57b7ac9da5bcd/model.safetensors +0 -0
- models--suno--bark-small/.no_exist/1dbd7a128513b8ae4a4e2130fed57b7ac9da5bcd/model.safetensors.index.json +0 -0
- models--suno--bark-small/blobs/3c076663001cdfcc4b7805ac7d17aa74fcb84bf0 +340 -0
- models--suno--bark-small/blobs/4a52e32e1487adc051a57c66e18a891c6b7668231469e860e110d12d75e12c74 +3 -0
- models--suno--bark-small/blobs/82654c5189e5c83867e61b1186c2fe364e3c9bd0 +1 -0
- models--suno--bark-small/blobs/e602b1fa2372be3ada89135f477e300a57b3f21a +172 -0
- models--suno--bark-small/blobs/f0f7f16b24f65789ce42b3c491aa6a1cdf219f7ef425066fcd194485245e65d9 +3 -0
- models--suno--bark-small/refs/main +1 -0
- models--suno--bark-small/refs/refs/pr/13 +1 -0
- models--suno--bark-small/snapshots/1dbd7a128513b8ae4a4e2130fed57b7ac9da5bcd/config.json +340 -0
- models--suno--bark-small/snapshots/1dbd7a128513b8ae4a4e2130fed57b7ac9da5bcd/generation_config.json +172 -0
- models--suno--bark-small/snapshots/1dbd7a128513b8ae4a4e2130fed57b7ac9da5bcd/pytorch_model.bin +3 -0
- models--suno--bark-small/snapshots/1dbd7a128513b8ae4a4e2130fed57b7ac9da5bcd/speaker_embeddings_path.json +1 -0
- models--suno--bark-small/snapshots/fb35f1a1c6fbf84382a6be730793da74d38f4821/model.safetensors +3 -0
- processor_config.json +1311 -0
- speaker_embeddings/announcer_coarse_prompt.npy +3 -0
- speaker_embeddings/announcer_fine_prompt.npy +3 -0
- speaker_embeddings/announcer_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_0_coarse_prompt.npy +3 -0
- speaker_embeddings/de_speaker_0_fine_prompt.npy +3 -0
- speaker_embeddings/de_speaker_0_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_1_coarse_prompt.npy +3 -0
- speaker_embeddings/de_speaker_1_fine_prompt.npy +3 -0
- speaker_embeddings/de_speaker_1_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_2_coarse_prompt.npy +3 -0
- speaker_embeddings/de_speaker_2_fine_prompt.npy +3 -0
- speaker_embeddings/de_speaker_2_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_3_coarse_prompt.npy +3 -0
- speaker_embeddings/de_speaker_3_fine_prompt.npy +3 -0
- speaker_embeddings/de_speaker_3_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_4_coarse_prompt.npy +3 -0
- speaker_embeddings/de_speaker_4_fine_prompt.npy +3 -0
- speaker_embeddings/de_speaker_4_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_5_coarse_prompt.npy +3 -0
- speaker_embeddings/de_speaker_5_fine_prompt.npy +3 -0
- speaker_embeddings/de_speaker_5_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_6_coarse_prompt.npy +3 -0
- speaker_embeddings/de_speaker_6_fine_prompt.npy +3 -0
- speaker_embeddings/de_speaker_6_semantic_prompt.npy +3 -0
- speaker_embeddings/de_speaker_7_coarse_prompt.npy +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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models--suno--bark-small/blobs/4a52e32e1487adc051a57c66e18a891c6b7668231469e860e110d12d75e12c74 filter=lfs diff=lfs merge=lfs -text
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models--suno--bark-small/blobs/f0f7f16b24f65789ce42b3c491aa6a1cdf219f7ef425066fcd194485245e65d9 filter=lfs diff=lfs merge=lfs -text
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.locks/models--suno--bark-small/3c076663001cdfcc4b7805ac7d17aa74fcb84bf0.lock
ADDED
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.locks/models--suno--bark-small/4a52e32e1487adc051a57c66e18a891c6b7668231469e860e110d12d75e12c74.lock
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.locks/models--suno--bark-small/82654c5189e5c83867e61b1186c2fe364e3c9bd0.lock
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.locks/models--suno--bark-small/e602b1fa2372be3ada89135f477e300a57b3f21a.lock
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.locks/models--suno--bark-small/f0f7f16b24f65789ce42b3c491aa6a1cdf219f7ef425066fcd194485245e65d9.lock
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config.json
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@@ -0,0 +1,104 @@
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{
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"architectures": [
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"BarkModel"
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],
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"coarse_acoustics_config": {
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"architectures": [
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"BarkCoarseModel"
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],
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"bias": false,
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"block_size": 1024,
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"dropout": 0.0,
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"dtype": "float32",
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"hidden_size": 768,
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"initializer_range": 0.02,
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"input_vocab_size": 12096,
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"model_type": "coarse_acoustics",
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"num_heads": 12,
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"num_layers": 12,
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"output_vocab_size": 12096,
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"use_cache": true
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},
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"codec_config": {
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"_name_or_path": "facebook/encodec_24khz",
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"architectures": [
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"EncodecModel"
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],
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"audio_channels": 1,
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"chunk_length_s": null,
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"codebook_dim": 128,
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"codebook_size": 1024,
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"compress": 2,
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"dilation_growth_rate": 2,
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"dtype": "float32",
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"hidden_size": 128,
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"kernel_size": 7,
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"last_kernel_size": 7,
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"model_type": "encodec",
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"norm_type": "weight_norm",
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"normalize": false,
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"num_filters": 32,
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"num_lstm_layers": 2,
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"num_residual_layers": 1,
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"overlap": null,
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"pad_mode": "reflect",
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"residual_kernel_size": 3,
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"sampling_rate": 24000,
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"target_bandwidths": [
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1.5,
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3.0,
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6.0,
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12.0,
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24.0
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],
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"trim_right_ratio": 1.0,
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"upsampling_ratios": [
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8,
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4,
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2
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],
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"use_causal_conv": true,
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"use_conv_shortcut": true
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},
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"dtype": "float32",
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"fine_acoustics_config": {
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"architectures": [
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"BarkFineModel"
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],
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"bias": false,
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"block_size": 1024,
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"dropout": 0.0,
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"dtype": "float32",
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"hidden_size": 768,
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"initializer_range": 0.02,
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"input_vocab_size": 1056,
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"model_type": "fine_acoustics",
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"n_codes_given": 1,
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"n_codes_total": 8,
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"num_heads": 12,
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"num_layers": 12,
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"output_vocab_size": 1056,
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"use_cache": true
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},
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"initializer_range": 0.02,
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"model_type": "bark",
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"semantic_config": {
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"architectures": [
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"BarkSemanticModel"
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],
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"bias": false,
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"block_size": 1024,
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"dropout": 0.0,
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"dtype": "float32",
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"hidden_size": 768,
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"initializer_range": 0.02,
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"input_vocab_size": 129600,
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"model_type": "semantic",
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"num_heads": 12,
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"num_layers": 12,
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"output_vocab_size": 10048,
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"use_cache": true
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},
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"transformers_version": "4.57.0"
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}
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generation_config.json
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{
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"max_coarse_history": 630,
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models--suno--bark-small/blobs/e602b1fa2372be3ada89135f477e300a57b3f21a
ADDED
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models--suno--bark-small/blobs/f0f7f16b24f65789ce42b3c491aa6a1cdf219f7ef425066fcd194485245e65d9
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|
models--suno--bark-small/snapshots/1dbd7a128513b8ae4a4e2130fed57b7ac9da5bcd/generation_config.json
ADDED
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@@ -0,0 +1,172 @@
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{
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|
models--suno--bark-small/snapshots/1dbd7a128513b8ae4a4e2130fed57b7ac9da5bcd/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 1676663913
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models--suno--bark-small/snapshots/1dbd7a128513b8ae4a4e2130fed57b7ac9da5bcd/speaker_embeddings_path.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
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"fine_prompt": "speaker_embeddings/tr_speaker_8_fine_prompt.npy"}, "tr_speaker_5": {"semantic_prompt": "speaker_embeddings/tr_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/tr_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/tr_speaker_5_fine_prompt.npy"}, "v2/zh_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/zh_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/zh_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/zh_speaker_8_fine_prompt.npy"}, "en_speaker_0": {"semantic_prompt": "speaker_embeddings/en_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_0_fine_prompt.npy"}, "hi_speaker_6": {"semantic_prompt": "speaker_embeddings/hi_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/hi_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/hi_speaker_6_fine_prompt.npy"}, "v2/fr_speaker_8": {"semantic_prompt": "speaker_embeddings/v2/fr_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/fr_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/fr_speaker_8_fine_prompt.npy"}, "es_speaker_3": {"semantic_prompt": "speaker_embeddings/es_speaker_3_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/es_speaker_3_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/es_speaker_3_fine_prompt.npy"}, "ko_speaker_0": {"semantic_prompt": "speaker_embeddings/ko_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ko_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ko_speaker_0_fine_prompt.npy"}, "v2/pt_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/pt_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pt_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pt_speaker_0_fine_prompt.npy"}, "ja_speaker_4": {"semantic_prompt": "speaker_embeddings/ja_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ja_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ja_speaker_4_fine_prompt.npy"}, "v2/tr_speaker_2": {"semantic_prompt": "speaker_embeddings/v2/tr_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/tr_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/tr_speaker_2_fine_prompt.npy"}, "es_speaker_2": {"semantic_prompt": "speaker_embeddings/es_speaker_2_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/es_speaker_2_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/es_speaker_2_fine_prompt.npy"}, "v2/hi_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/hi_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/hi_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/hi_speaker_9_fine_prompt.npy"}, "zh_speaker_0": {"semantic_prompt": "speaker_embeddings/zh_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/zh_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/zh_speaker_0_fine_prompt.npy"}, "hi_speaker_9": {"semantic_prompt": "speaker_embeddings/hi_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/hi_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/hi_speaker_9_fine_prompt.npy"}, "v2/pt_speaker_6": {"semantic_prompt": "speaker_embeddings/v2/pt_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pt_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pt_speaker_6_fine_prompt.npy"}, "v2/hi_speaker_0": {"semantic_prompt": "speaker_embeddings/v2/hi_speaker_0_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/hi_speaker_0_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/hi_speaker_0_fine_prompt.npy"}, "it_speaker_9": {"semantic_prompt": "speaker_embeddings/it_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/it_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/it_speaker_9_fine_prompt.npy"}, "it_speaker_6": {"semantic_prompt": "speaker_embeddings/it_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/it_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/it_speaker_6_fine_prompt.npy"}, "it_speaker_8": {"semantic_prompt": "speaker_embeddings/it_speaker_8_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/it_speaker_8_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/it_speaker_8_fine_prompt.npy"}, "v2/fr_speaker_4": {"semantic_prompt": "speaker_embeddings/v2/fr_speaker_4_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/fr_speaker_4_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/fr_speaker_4_fine_prompt.npy"}, "v2/pl_speaker_9": {"semantic_prompt": "speaker_embeddings/v2/pl_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/pl_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/pl_speaker_9_fine_prompt.npy"}, "v2/zh_speaker_1": {"semantic_prompt": "speaker_embeddings/v2/zh_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/zh_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/zh_speaker_1_fine_prompt.npy"}, "ru_speaker_9": {"semantic_prompt": "speaker_embeddings/ru_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/ru_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/ru_speaker_9_fine_prompt.npy"}, "v2/hi_speaker_1": {"semantic_prompt": "speaker_embeddings/v2/hi_speaker_1_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/hi_speaker_1_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/hi_speaker_1_fine_prompt.npy"}, "en_speaker_6": {"semantic_prompt": "speaker_embeddings/en_speaker_6_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_6_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_6_fine_prompt.npy"}, "en_speaker_9": {"semantic_prompt": "speaker_embeddings/en_speaker_9_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/en_speaker_9_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/en_speaker_9_fine_prompt.npy"}, "v2/es_speaker_5": {"semantic_prompt": "speaker_embeddings/v2/es_speaker_5_semantic_prompt.npy", "coarse_prompt": "speaker_embeddings/v2/es_speaker_5_coarse_prompt.npy", "fine_prompt": "speaker_embeddings/v2/es_speaker_5_fine_prompt.npy"}}
|
models--suno--bark-small/snapshots/fb35f1a1c6fbf84382a6be730793da74d38f4821/model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:4a52e32e1487adc051a57c66e18a891c6b7668231469e860e110d12d75e12c74
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| 3 |
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size 1676551008
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processor_config.json
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|
| 1 |
+
{
|
| 2 |
+
"processor_class": "BarkProcessor",
|
| 3 |
+
"speaker_embeddings": {
|
| 4 |
+
"announcer": {
|
| 5 |
+
"coarse_prompt": "speaker_embeddings/announcer_coarse_prompt.npy",
|
| 6 |
+
"fine_prompt": "speaker_embeddings/announcer_fine_prompt.npy",
|
| 7 |
+
"semantic_prompt": "speaker_embeddings/announcer_semantic_prompt.npy"
|
| 8 |
+
},
|
| 9 |
+
"de_speaker_0": {
|
| 10 |
+
"coarse_prompt": "speaker_embeddings/de_speaker_0_coarse_prompt.npy",
|
| 11 |
+
"fine_prompt": "speaker_embeddings/de_speaker_0_fine_prompt.npy",
|
| 12 |
+
"semantic_prompt": "speaker_embeddings/de_speaker_0_semantic_prompt.npy"
|
| 13 |
+
},
|
| 14 |
+
"de_speaker_1": {
|
| 15 |
+
"coarse_prompt": "speaker_embeddings/de_speaker_1_coarse_prompt.npy",
|
| 16 |
+
"fine_prompt": "speaker_embeddings/de_speaker_1_fine_prompt.npy",
|
| 17 |
+
"semantic_prompt": "speaker_embeddings/de_speaker_1_semantic_prompt.npy"
|
| 18 |
+
},
|
| 19 |
+
"de_speaker_2": {
|
| 20 |
+
"coarse_prompt": "speaker_embeddings/de_speaker_2_coarse_prompt.npy",
|
| 21 |
+
"fine_prompt": "speaker_embeddings/de_speaker_2_fine_prompt.npy",
|
| 22 |
+
"semantic_prompt": "speaker_embeddings/de_speaker_2_semantic_prompt.npy"
|
| 23 |
+
},
|
| 24 |
+
"de_speaker_3": {
|
| 25 |
+
"coarse_prompt": "speaker_embeddings/de_speaker_3_coarse_prompt.npy",
|
| 26 |
+
"fine_prompt": "speaker_embeddings/de_speaker_3_fine_prompt.npy",
|
| 27 |
+
"semantic_prompt": "speaker_embeddings/de_speaker_3_semantic_prompt.npy"
|
| 28 |
+
},
|
| 29 |
+
"de_speaker_4": {
|
| 30 |
+
"coarse_prompt": "speaker_embeddings/de_speaker_4_coarse_prompt.npy",
|
| 31 |
+
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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|
| 192 |
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|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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|
| 213 |
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|
| 214 |
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|
| 215 |
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|
| 216 |
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|
| 217 |
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|
| 218 |
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|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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|
| 223 |
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|
| 224 |
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|
| 225 |
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|
| 226 |
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|
| 227 |
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|
| 228 |
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|
| 229 |
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|
| 230 |
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|
| 231 |
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|
| 232 |
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|
| 233 |
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|
| 234 |
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|
| 235 |
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|
| 236 |
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|
| 237 |
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"semantic_prompt": "speaker_embeddings/hi_speaker_5_semantic_prompt.npy"
|
| 238 |
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|
| 239 |
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|
| 240 |
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|
| 241 |
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|
| 242 |
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"semantic_prompt": "speaker_embeddings/hi_speaker_6_semantic_prompt.npy"
|
| 243 |
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},
|
| 244 |
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|
| 245 |
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|
| 246 |
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|
| 247 |
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"semantic_prompt": "speaker_embeddings/hi_speaker_7_semantic_prompt.npy"
|
| 248 |
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},
|
| 249 |
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|
| 250 |
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|
| 251 |
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"fine_prompt": "speaker_embeddings/hi_speaker_8_fine_prompt.npy",
|
| 252 |
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"semantic_prompt": "speaker_embeddings/hi_speaker_8_semantic_prompt.npy"
|
| 253 |
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},
|
| 254 |
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|
| 255 |
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|
| 256 |
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"fine_prompt": "speaker_embeddings/hi_speaker_9_fine_prompt.npy",
|
| 257 |
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"semantic_prompt": "speaker_embeddings/hi_speaker_9_semantic_prompt.npy"
|
| 258 |
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},
|
| 259 |
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|
| 260 |
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|
| 261 |
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"fine_prompt": "speaker_embeddings/it_speaker_0_fine_prompt.npy",
|
| 262 |
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"semantic_prompt": "speaker_embeddings/it_speaker_0_semantic_prompt.npy"
|
| 263 |
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},
|
| 264 |
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|
| 265 |
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|
| 266 |
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"fine_prompt": "speaker_embeddings/it_speaker_1_fine_prompt.npy",
|
| 267 |
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"semantic_prompt": "speaker_embeddings/it_speaker_1_semantic_prompt.npy"
|
| 268 |
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},
|
| 269 |
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|
| 270 |
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|
| 271 |
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"fine_prompt": "speaker_embeddings/it_speaker_2_fine_prompt.npy",
|
| 272 |
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"semantic_prompt": "speaker_embeddings/it_speaker_2_semantic_prompt.npy"
|
| 273 |
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},
|
| 274 |
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|
| 275 |
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"coarse_prompt": "speaker_embeddings/it_speaker_3_coarse_prompt.npy",
|
| 276 |
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"fine_prompt": "speaker_embeddings/it_speaker_3_fine_prompt.npy",
|
| 277 |
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"semantic_prompt": "speaker_embeddings/it_speaker_3_semantic_prompt.npy"
|
| 278 |
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},
|
| 279 |
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|
| 280 |
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|
| 281 |
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"fine_prompt": "speaker_embeddings/it_speaker_4_fine_prompt.npy",
|
| 282 |
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"semantic_prompt": "speaker_embeddings/it_speaker_4_semantic_prompt.npy"
|
| 283 |
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},
|
| 284 |
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|
| 285 |
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|
| 286 |
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"fine_prompt": "speaker_embeddings/it_speaker_5_fine_prompt.npy",
|
| 287 |
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"semantic_prompt": "speaker_embeddings/it_speaker_5_semantic_prompt.npy"
|
| 288 |
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},
|
| 289 |
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|
| 290 |
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|
| 291 |
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| 292 |
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|
| 293 |
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| 295 |
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| 296 |
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| 297 |
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|
| 298 |
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| 300 |
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| 302 |
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|
| 303 |
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| 307 |
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|
| 308 |
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| 312 |
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| 313 |
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| 317 |
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|
| 318 |
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|
| 320 |
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| 322 |
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|
| 323 |
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| 327 |
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| 328 |
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| 330 |
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| 332 |
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| 333 |
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| 338 |
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| 342 |
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|
| 343 |
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| 347 |
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| 348 |
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| 352 |
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| 353 |
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| 357 |
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| 358 |
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| 363 |
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| 367 |
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|
| 368 |
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| 372 |
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| 373 |
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| 377 |
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|
| 378 |
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| 382 |
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|
| 383 |
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| 387 |
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| 388 |
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| 393 |
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| 398 |
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| 402 |
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| 403 |
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| 407 |
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| 408 |
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| 418 |
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| 423 |
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| 428 |
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| 433 |
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| 438 |
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| 442 |
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| 443 |
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| 447 |
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| 448 |
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| 453 |
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| 458 |
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| 462 |
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| 463 |
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| 467 |
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|
| 468 |
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| 471 |
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| 472 |
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|
| 473 |
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| 475 |
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| 476 |
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| 477 |
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|
| 478 |
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| 479 |
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| 480 |
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|
| 481 |
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| 482 |
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|
| 483 |
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| 485 |
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| 486 |
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| 487 |
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|
| 488 |
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| 489 |
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| 490 |
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| 491 |
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| 492 |
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|
| 493 |
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| 494 |
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| 495 |
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| 496 |
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|
| 497 |
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|
| 498 |
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|
| 499 |
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|
| 500 |
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|
| 501 |
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|
| 502 |
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|
| 503 |
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|
| 504 |
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|
| 505 |
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|
| 506 |
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|
| 507 |
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|
| 508 |
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|
| 509 |
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|
| 510 |
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|
| 511 |
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|
| 512 |
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|
| 513 |
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|
| 514 |
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|
| 515 |
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|
| 516 |
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|
| 517 |
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|
| 518 |
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|
| 519 |
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|
| 520 |
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|
| 521 |
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|
| 522 |
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|
| 523 |
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|
| 524 |
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|
| 525 |
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|
| 526 |
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|
| 527 |
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|
| 528 |
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|
| 529 |
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|
| 530 |
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|
| 531 |
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|
| 532 |
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|
| 533 |
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|
| 534 |
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|
| 535 |
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|
| 536 |
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|
| 537 |
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|
| 538 |
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|
| 539 |
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|
| 540 |
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|
| 541 |
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|
| 542 |
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|
| 543 |
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|
| 544 |
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|
| 545 |
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|
| 546 |
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|
| 547 |
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| 548 |
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|
| 549 |
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|
| 550 |
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|
| 551 |
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| 553 |
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| 554 |
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| 558 |
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| 559 |
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| 569 |
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| 574 |
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|
| 579 |
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| 584 |
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| 589 |
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| 594 |
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| 599 |
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| 609 |
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| 614 |
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| 619 |
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| 624 |
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|
| 629 |
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| 634 |
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| 639 |
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| 643 |
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|
| 644 |
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| 648 |
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|
| 649 |
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| 651 |
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| 653 |
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|
| 654 |
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| 658 |
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|
| 659 |
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| 662 |
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|
| 664 |
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| 668 |
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|
| 669 |
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| 673 |
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| 674 |
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| 678 |
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|
| 679 |
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| 683 |
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|
| 684 |
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| 687 |
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| 688 |
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|
| 689 |
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| 691 |
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|
| 694 |
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| 697 |
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| 698 |
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|
| 699 |
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| 703 |
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|
| 704 |
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| 708 |
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|
| 709 |
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| 712 |
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| 713 |
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|
| 714 |
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| 716 |
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| 717 |
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| 718 |
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|
| 719 |
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| 721 |
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| 722 |
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| 723 |
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|
| 724 |
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|
| 725 |
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| 726 |
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| 727 |
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|
| 728 |
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|
| 729 |
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|
| 730 |
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| 731 |
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| 732 |
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|
| 733 |
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|
| 734 |
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| 736 |
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| 737 |
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|
| 738 |
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|
| 739 |
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|
| 740 |
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| 741 |
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| 742 |
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|
| 743 |
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|
| 744 |
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| 745 |
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| 746 |
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|
| 747 |
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|
| 748 |
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|
| 749 |
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|
| 750 |
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| 751 |
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| 752 |
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| 753 |
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|
| 754 |
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| 755 |
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| 756 |
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| 757 |
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| 758 |
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|
| 759 |
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|
| 760 |
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| 761 |
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| 762 |
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| 763 |
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|
| 764 |
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|
| 765 |
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| 766 |
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| 767 |
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|
| 768 |
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|
| 769 |
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| 770 |
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| 771 |
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| 773 |
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|
| 774 |
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| 776 |
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| 777 |
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| 778 |
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|
| 779 |
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| 781 |
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| 782 |
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| 783 |
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|
| 784 |
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| 786 |
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| 787 |
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| 788 |
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|
| 789 |
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| 791 |
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|
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| 794 |
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| 799 |
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| 849 |
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| 854 |
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| 859 |
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| 874 |
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| 889 |
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| 924 |
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| 939 |
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| 949 |
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| 954 |
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| 959 |
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| 964 |
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| 974 |
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| 978 |
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|
| 979 |
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|
| 984 |
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| 989 |
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| 991 |
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|
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| 996 |
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| 998 |
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|
| 999 |
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| 1001 |
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| 1003 |
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|
| 1004 |
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| 1008 |
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|
| 1009 |
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| 1014 |
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| 1018 |
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|
| 1019 |
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| 1021 |
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| 1023 |
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|
| 1024 |
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| 1026 |
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|
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|
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|
| 1264 |
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|
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|
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|
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|
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|
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|
| 1284 |
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|
| 1289 |
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| 1290 |
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|
| 1291 |
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|
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|
| 1294 |
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|
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|
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|
| 1298 |
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|
| 1299 |
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|
| 1300 |
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|
| 1301 |
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|
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|
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|
| 1304 |
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|
| 1305 |
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|
| 1306 |
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|
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|
| 1309 |
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|
| 1310 |
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|
| 1311 |
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|
speaker_embeddings/announcer_coarse_prompt.npy
ADDED
|
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speaker_embeddings/announcer_fine_prompt.npy
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speaker_embeddings/de_speaker_4_coarse_prompt.npy
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