| | |
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| | | |
|---|
| | | def fbank(self, waveform: np.ndarray) -> Tuple[np.ndarray, np.ndarray]: |
|---|
| | | waveform = waveform * (1 << 15) |
|---|
| | | self.fbank_fn = knf.OnlineFbank(self.opts) |
|---|
| | | self.fbank_fn.accept_waveform(self.opts.frame_opts.samp_freq, waveform.tolist()) |
|---|
| | | frames = self.fbank_fn.num_frames_ready |
|---|
| | | fbank_fn = knf.OnlineFbank(self.opts) |
|---|
| | | fbank_fn.accept_waveform(self.opts.frame_opts.samp_freq, waveform.tolist()) |
|---|
| | | frames = fbank_fn.num_frames_ready |
|---|
| | | mat = np.empty([frames, self.opts.mel_opts.num_bins]) |
|---|
| | | for i in range(frames): |
|---|
| | | mat[i, :] = self.fbank_fn.get_frame(i) |
|---|
| | | mat[i, :] = fbank_fn.get_frame(i) |
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| | | feat = mat.astype(np.float32) |
|---|
| | | feat_len = np.array(mat.shape[0]).astype(np.int32) |
|---|
| | | return feat, feat_len |
|---|
