setup jamo

游雁

2023-11-24 b5d3df75cf6462aa3bf42fd3c86fa2aa7f1c8a15

 funasr/models/frontend/wav_frontend.py

@@ -6,7 +6,6 @@
import torch
import torchaudio.compliance.kaldi as kaldi
from torch.nn.utils.rnn import pad_sequence
from typeguard import check_argument_types

import funasr.models.frontend.eend_ola_feature as eend_ola_feature
from funasr.models.frontend.abs_frontend import AbsFrontend
@@ -31,8 +30,8 @@
                rescale_line = line_item[3:(len(line_item) - 1)]
                vars_list = list(rescale_line)
                continue
    means = np.array(means_list).astype(np.float)
    vars = np.array(vars_list).astype(np.float)
    means = np.array(means_list).astype(np.float32)
    vars = np.array(vars_list).astype(np.float32)
    cmvn = np.array([means, vars])
    cmvn = torch.as_tensor(cmvn, dtype=torch.float32)
    return cmvn
@@ -95,7 +94,6 @@
            snip_edges: bool = True,
            upsacle_samples: bool = True,
    ):
        assert check_argument_types()
        super().__init__()
        self.fs = fs
        self.window = window
@@ -147,9 +145,12 @@
            feats_lens.append(feat_length)

        feats_lens = torch.as_tensor(feats_lens)
        feats_pad = pad_sequence(feats,
                                 batch_first=True,
                                 padding_value=0.0)
        if batch_size == 1:
            feats_pad = feats[0][None, :, :]
        else:
            feats_pad = pad_sequence(feats,
                                     batch_first=True,
                                     padding_value=0.0)
        return feats_pad, feats_lens

    def forward_fbank(
@@ -227,7 +228,6 @@
            snip_edges: bool = True,
            upsacle_samples: bool = True,
    ):
        assert check_argument_types()
        super().__init__()
        self.fs = fs
        self.window = window
@@ -466,7 +466,6 @@
            lfr_m: int = 1,
            lfr_n: int = 1,
    ):
        assert check_argument_types()
        super().__init__()
        self.fs = fs
        self.frame_length = frame_length