| | |
|---|
| | | frame_num = self.compute_frame_num(input.shape[-1], self.frame_sample_length, self.frame_shift_sample_length) |
|---|
| | | # update self.in_cache |
|---|
| | | self.input_cache = input[:, -(input.shape[-1] - frame_num * self.frame_shift_sample_length):] |
|---|
| | | waveforms = np.empty(0, dtype=np.int16) |
|---|
| | | waveforms = np.empty(0, dtype=np.float32) |
|---|
| | | feats_pad = np.empty(0, dtype=np.float32) |
|---|
| | | feats_lens = np.empty(0, dtype=np.int32) |
|---|
| | | if frame_num: |
|---|
| | |
|---|
| | | mat[i, :] = self.fbank_fn.get_frame(i) |
|---|
| | | feat = mat.astype(np.float32) |
|---|
| | | feat_len = np.array(mat.shape[0]).astype(np.int32) |
|---|
| | | feats.append(mat) |
|---|
| | | feats.append(feat) |
|---|
| | | feats_lens.append(feat_len) |
|---|
| | | |
|---|
| | | waveforms = np.stack(waveforms) |
|---|
