Update README.md

README.md

@@ -45,6 +45,26 @@ mel_specs = torch.rand(2, 80,298)
 waveforms = hifi_gan.decode_batch(mel_specs)
 ```
 
+### Using the Vocoder with the TTS
+```python
+import torchaudio
+from speechbrain.pretrained import Tacotron2
+from speechbrain.pretrained import HIFIGAN
+
+# Intialize TTS (tacotron2) and Vocoder (HiFIGAN)
+tacotron2 = Tacotron2.from_hparams(source="speechbrain/tts-tacotron2-ljspeech", savedir="tmpdir_tts")
+hifi_gan = HIFIGAN.from_hparams(source="tts-hifigan-libritts-22050Hz", savedir="tmpdir_vocoder")
+
+# Running the TTS
+mel_output, mel_length, alignment = tacotron2.encode_text("Mary had a little lamb")
+
+# Running Vocoder (spectrogram-to-waveform)
+waveforms = hifi_gan.decode_batch(mel_output)
+
+# Save the waverform
+torchaudio.save('example_TTS.wav',waveforms.squeeze(1), 22050)
+```
+
 ### Inference on GPU
 To perform inference on the GPU, add  `run_opts={"device":"cuda"}`  when calling the `from_hparams` method.