Update README.md

README.md

@@ -43,7 +43,7 @@ tacotron2 = Tacotron2.from_hparams(source="speechbrain/tts-tacotron2-ljspeech",
 hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-ljspeech", savedir="tmpdir_vocoder")
 
 # Running the TTS
-mel_output, mel_length, alignment = tacotron2.encode_text("Mary had a little lamb")
+mel_output, mel_length, alignment = tacotron2.encode_text("Mbagaliza Christmass Enungi Nomwaka Omugya Gubaberere Gwamirembe")
 
 # Running Vocoder (spectrogram-to-waveform)
 waveforms = hifi_gan.decode_batch(mel_output)
@@ -57,10 +57,11 @@ If you want to generate multiple sentences in one-shot, you can do in this way:
 ```
 from speechbrain.pretrained import Tacotron2
 tacotron2 = Tacotron2.from_hparams(source="speechbrain/TTS_Tacotron2", savedir="tmpdir")
+
 items = [
-       "A quick brown fox jumped over the lazy dog",
-       "How much wood would a woodchuck chuck?",
-       "Never odd or even"
+       "Nsanyuse okukulaba",
+       "Erinnya lyo ggwe ani?",
+       "Mbagaliza Christmass Enungi Nomwaka Omugya Gubaberere Gwamirembe"
      ]
 mel_outputs, mel_lengths, alignments = tacotron2.encode_batch(items)