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kobraspeech-rnn-cs

Automatic Speech Recognition
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- library_name: keras
 
 
 
 
 
 
 
 
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  tags:
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  - automatic-speech-recognition
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  - speech
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  - Tensorflow
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  - Keras
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  - RNN
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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- ## Model description
 
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- More information needed
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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- ## Training procedure
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-
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- ### Training hyperparameters
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-
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- The following hyperparameters were used during training:
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-
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- | Hyperparameters | Value |
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- | :-- | :-- |
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- | name | Adam |
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- | weight_decay | None |
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- | clipnorm | None |
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- | global_clipnorm | None |
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- | clipvalue | None |
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- | use_ema | False |
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- | ema_momentum | 0.99 |
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- | ema_overwrite_frequency | None |
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- | jit_compile | True |
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- | is_legacy_optimizer | False |
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- | learning_rate | 9.999999747378752e-05 |
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- | beta_1 | 0.9 |
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- | beta_2 | 0.999 |
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- | epsilon | 1e-07 |
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- | amsgrad | False |
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- | training_precision | float32 |
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+ datasets:
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+ - mozilla-foundation/common_voice_17_0
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+ language: cs
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+ library_name: tensorflow
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+ license: cc-by-nc-sa-4.0
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+ metrics:
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+ - wer
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+ - val_loss
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+ pipeline_tag: automatic-speech-recognition
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  tags:
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  - automatic-speech-recognition
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  - speech
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  - Tensorflow
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  - Keras
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  - RNN
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+ model-index:
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+ - name: KobraSpeech RNN Czech
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+ results:
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+ - task:
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+ type: speech-to-text
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+ dataset:
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+ name: mozilla-foundation/common_voice_17_0
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+ type: common_voice
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+ split: test
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+ metrics:
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+ - type: wer
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+ value: '0.6982'
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  ---
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+ # KobraSpeech RNN Czech
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+ This is a lightweight speech-to-text model for Czech language. It was trained on the Common Voice dataset.
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+ ## Training progress
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+ | Epoch | Loss | Val Loss |
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+ | --- | --- | --- |
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+ | 1 | 145.0826 | 101.9806 |
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+ | 2 | 88.5889 | 80.9404 |
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+ | 3 | 71.0080 | 72.7689 |
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+ | 4 | 61.9973 | 68.7629 |
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+ | 5 | 56.7657 | 60.8039 |
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+ | 6 | 51.5836 | 56.6200 |
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+ | 7 | 47.6242 | 58.4478 |
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+ | 8 | 44.3805 | 54.3059 |
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+ | 9 | 41.5582 | 49.7450 |
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+ | 10 | 39.1244 | 51.0741 |
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+ | 11 | 36.9500 | 46.6725 |
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+ | 12 | 35.0127 | 45.6165 |
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+ | 13 | 33.2974 | 47.7714 |
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+ | 14 | 31.6605 | 45.0911 |
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+ | 15 | 30.0918 | 43.3004 |
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+ | 16 | 28.8173 | 42.9870 |
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+ | 17 | 27.5169 | 42.2732 |
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+ | 18 | 26.3582 | 42.9355 |
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+ | 19 | 25.2368 | 42.0441 |
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+ | 20 | 24.2527 | 41.2783 |
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+ | 21 | 23.3302 | 40.5552 |
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+ | 22 | 22.3662 | 42.3867 |
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+ | 23 | 21.5657 | 41.0113 |
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+ | 24 | 20.7213 | 42.3488 |
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+ | 25 | 19.9843 | 41.7464 |
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+ | 26 | 22.3809 | 40.7493 |
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+ | 27 | 21.5943 | 40.4331 |
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+ | 28 | 20.6919 | 41.5385 |
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+ | 29 | 19.9768 | 41.5923 |
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+ | 30 | 19.2961 | 39.0283 |
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+ | 31 | 18.6037 | 40.4818 |
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+ | 32 | 17.9178 | 40.1532 |
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+ | 33 | 17.3384 | 40.9723 |
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+ | 34 | 16.7528 | 39.4724 |
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+ This model was created and trained by [Kobrasoft](https://kobrasoft.cz)