Update README.md

README.md

@@ -31,14 +31,14 @@ Use with Nemo Toolkit
   model = HifiGanModel.from_pretrained(model_name="tts_de_hui_hifigan_ft_fastpitch_multispeaker_5")
   
   # Generate audio
-  import soundfile as sf
+  import torchaudio
   parsed = spec_generator.parse("")
   speaker_id = 0
   spectrogram = spec_generator.generate_spectrogram(tokens=parsed, speaker=speaker_id)
   audio = model.convert_spectrogram_to_audio(spec=spectrogram)
   
   # Save the audio to disk in a file called speech.wav
-  sf.write("speech.wav", audio.to('cpu').numpy(), 44100)
+  torchaudio.save('german_sound.wav', audio.cpu(), 44100)   
 ```