Extract feature. Args: audio: TODO.
(audio)
| 111 | |
| 112 | |
| 113 | def extract_feature(audio): |
| 114 | """Extract feature. |
| 115 | |
| 116 | Args: |
| 117 | audio: TODO. |
| 118 | """ |
| 119 | features = [] |
| 120 | for au in audio: |
| 121 | feature = Kaldi.fbank(au.unsqueeze(0), num_mel_bins=80) |
| 122 | feature = feature - feature.mean(dim=0, keepdim=True) |
| 123 | features.append(feature.unsqueeze(0)) |
| 124 | features = torch.cat(features) |
| 125 | return features |
| 126 | |
| 127 | |
| 128 | def postprocess( |
nothing calls this directly
no test coverage detected
searching dependent graphs…