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Function mel_spectrogram

modules/hifigan/mel_utils.py:45–80  ·  view source on GitHub ↗
(y, hparams, center=False, complex=False)

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43
44
45def mel_spectrogram(y, hparams, center=False, complex=False):
46 # hop_size: 512 # For 22050Hz, 275 ~= 12.5 ms (0.0125 * sample_rate)
47 # win_size: 2048 # For 22050Hz, 1100 ~= 50 ms (If None, win_size: fft_size) (0.05 * sample_rate)
48 # fmin: 55 # Set this to 55 if your speaker is male! if female, 95 should help taking off noise. (To test depending on dataset. Pitch info: male~[65, 260], female~[100, 525])
49 # fmax: 10000 # To be increased/reduced depending on data.
50 # fft_size: 2048 # Extra window size is filled with 0 paddings to match this parameter
51 # n_fft, num_mels, sampling_rate, hop_size, win_size, fmin, fmax,
52 n_fft = hparams['fft_size']
53 num_mels = hparams['audio_num_mel_bins']
54 sampling_rate = hparams['audio_sample_rate']
55 hop_size = hparams['hop_size']
56 win_size = hparams['win_size']
57 fmin = hparams['fmin']
58 fmax = hparams['fmax']
59 y = y.clamp(min=-1., max=1.)
60 global mel_basis, hann_window
61 if fmax not in mel_basis:
62 mel = librosa_mel_fn(sampling_rate, n_fft, num_mels, fmin, fmax)
63 mel_basis[str(fmax) + '_' + str(y.device)] = torch.from_numpy(mel).float().to(y.device)
64 hann_window[str(y.device)] = torch.hann_window(win_size).to(y.device)
65
66 y = torch.nn.functional.pad(y.unsqueeze(1), (int((n_fft - hop_size) / 2), int((n_fft - hop_size) / 2)),
67 mode='reflect')
68 y = y.squeeze(1)
69
70 spec = torch.stft(y, n_fft, hop_length=hop_size, win_length=win_size, window=hann_window[str(y.device)],
71 center=center, pad_mode='reflect', normalized=False, onesided=True)
72
73 if not complex:
74 spec = torch.sqrt(spec.pow(2).sum(-1) + (1e-9))
75 spec = torch.matmul(mel_basis[str(fmax) + '_' + str(y.device)], spec)
76 spec = spectral_normalize_torch(spec)
77 else:
78 B, C, T, _ = spec.shape
79 spec = spec.transpose(1, 2) # [B, T, n_fft, 2]
80 return spec

Callers

nothing calls this directly

Calls 2

spectral_normalize_torchFunction · 0.85
padMethod · 0.80

Tested by

no test coverage detected