Doc fixes (#1982)

test/torchaudio_unittest/functional/functional_impl.py

@@ -209,7 +209,7 @@ class Functional(TestBaseMixin):
         )
 
     @parameterized.expand([(0., ), (1., ), (2., ), (3., )])
-    def test_spectogram_grad_at_zero(self, power):
+    def test_spectrogram_grad_at_zero(self, power):
         """The gradient of power spectrogram should not be nan but zero near x=0
 
         https://github.com/pytorch/audio/issues/993

torchaudio/pipelines/_tts/interface.py

@@ -106,7 +106,7 @@ class Tacotron2TTSBundle(ABC):
         >>> # Convert spectrogram to waveform
         >>> waveforms, lengths = vocoder(specgram, lengths)
         >>>
-        >>> torchaudio.save('hello-tts.wav', waveforms[0], vocoder.sample_rate)
+        >>> torchaudio.save('hello-tts.wav', waveforms, vocoder.sample_rate)
 
     Example - Phoneme-based TTS pipeline with Tacotron2 and WaveRNN
         >>>
@@ -120,7 +120,7 @@ class Tacotron2TTSBundle(ABC):
         >>> import torchaudio
         >>>
         >>> text = "Hello, TTS!"
-        >>> bundle = torchaudio.pipelines.TACOTRON2_WAVERNN_PHONEME_LJSPEECH
+        >>> bundle = torchaudio.pipelines.TACOTRON2_WAVERNN_PHONE_LJSPEECH
         >>>
         >>> # Build processor, Tacotron2 and WaveRNN model
         >>> processor = bundle.get_text_processor()
@@ -142,7 +142,7 @@ class Tacotron2TTSBundle(ABC):
         >>> # Convert spectrogram to waveform
         >>> waveforms, lengths = vocoder(specgram, lengths)
         >>>
-        >>> torchaudio.save('hello-tts.wav', waveforms[0], vocoder.sample_rate)
+        >>> torchaudio.save('hello-tts.wav', waveforms, vocoder.sample_rate)
     """
 
     # Using the inner class so that these interfaces are not directly exposed on