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@@ -48,9 +48,22 @@ Please notice that we encourage you to read our tutorials and learn more about
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  ### Perform Text-to-Speech (TTS)
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  ```
 
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  from speechbrain.pretrained import Tacotron2
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- tacotron2 = Tacotron2.from_hparams(source="speechbrain/TTS_Tacotron2", savedir="tmpdir")
 
 
 
 
 
 
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  mel_output, mel_length, alignment = tacotron2.encode_text("Mary had a little lamb")
 
 
 
 
 
 
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  ```
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  If you want to generate multiple sentences in one-shot, you can do in this way:
 
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  ### Perform Text-to-Speech (TTS)
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  ```
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+ import torchaudio
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  from speechbrain.pretrained import Tacotron2
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+ from speechbrain.pretrained import HIFIGAN
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+
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+ # Intialize TTS (tacotron2) and Vocoder (HiFIGAN)
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+ tacotron2 = Tacotron2.from_hparams(source="speechbrain/TTS_Tacotron2", savedir="tmpdir_tts")
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+ hifi_gan = HIFIGAN.from_hparams(source="speechbrain/Vocoder_HiFIGAN", savedir="tmpdir_vocoder")
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+
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+ # Running the TTS
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  mel_output, mel_length, alignment = tacotron2.encode_text("Mary had a little lamb")
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+
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+ # Running Vocoder (spectrogram-to-waveform)
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+ waveforms = hifi_gan.decode_batch(mel_output)
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+
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+ # Save the waverform
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+ torchaudio.save('example_TTS.wav',waveforms.squeeze(1), 22050)
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  ```
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  If you want to generate multiple sentences in one-shot, you can do in this way: