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Updating README and doc strings to reflect that n_mels can now be 128 #2049

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Updating README and doc strings to reflect that n_mels can now be 128 #2049

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2 changes: 1 addition & 1 deletion README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -122,7 +122,7 @@ audio = whisper.load_audio("audio.mp3")
audio = whisper.pad_or_trim(audio)

# make log-Mel spectrogram and move to the same device as the model
mel = whisper.log_mel_spectrogram(audio).to(model.device)
mel = whisper.log_mel_spectrogram(audio, n_mels=model.dims.n_mels).to(model.device)

# detect the spoken language
_, probs = model.detect_language(mel)
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4 changes: 2 additions & 2 deletions whisper/audio.py
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Expand Up @@ -122,7 +122,7 @@ def log_mel_spectrogram(
The path to audio or either a NumPy array or Tensor containing the audio waveform in 16 kHz

n_mels: int
The number of Mel-frequency filters, only 80 is supported
The number of Mel-frequency filters, only 80 and 128 are supported

padding: int
Number of zero samples to pad to the right
Expand All @@ -132,7 +132,7 @@ def log_mel_spectrogram(

Returns
-------
torch.Tensor, shape = (80, n_frames)
torch.Tensor, shape = (n_mels, n_frames)
A Tensor that contains the Mel spectrogram
"""
if not torch.is_tensor(audio):
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