From 4f8bce944e273e317cb84c7046ea514b9d958b4b Mon Sep 17 00:00:00 2001
From: zhuzizyf <42790740+zhuzizyf@users.noreply.github.com>
Date: 星期六, 22 四月 2023 14:54:49 +0800
Subject: [PATCH] Update FsmnVad.cc

---
 funasr/models/frontend/wav_frontend.py |   23 ++++++++---------------
 1 files changed, 8 insertions(+), 15 deletions(-)

diff --git a/funasr/models/frontend/wav_frontend.py b/funasr/models/frontend/wav_frontend.py
index ca22175..203f00e 100644
--- a/funasr/models/frontend/wav_frontend.py
+++ b/funasr/models/frontend/wav_frontend.py
@@ -11,8 +11,6 @@
 import funasr.models.frontend.eend_ola_feature as eend_ola_feature
 from funasr.models.frontend.abs_frontend import AbsFrontend
 
-from modelscope.utils.logger import get_logger
-logger = get_logger()
 
 def load_cmvn(cmvn_file):
     with open(cmvn_file, 'r', encoding='utf-8') as f:
@@ -40,7 +38,7 @@
     return cmvn
 
 
-def apply_cmvn(inputs, cmvn_file):  # noqa
+def apply_cmvn(inputs, cmvn):  # noqa
     """
     Apply CMVN with mvn data
     """
@@ -49,7 +47,6 @@
     dtype = inputs.dtype
     frame, dim = inputs.shape
 
-    cmvn = load_cmvn(cmvn_file)
     means = np.tile(cmvn[0:1, :dim], (frame, 1))
     vars = np.tile(cmvn[1:2, :dim], (frame, 1))
     inputs += torch.from_numpy(means).type(dtype).to(device)
@@ -113,6 +110,7 @@
         self.dither = dither
         self.snip_edges = snip_edges
         self.upsacle_samples = upsacle_samples
+        self.cmvn = None if self.cmvn_file is None else load_cmvn(self.cmvn_file)
 
     def output_size(self) -> int:
         return self.n_mels * self.lfr_m
@@ -142,8 +140,8 @@
 
             if self.lfr_m != 1 or self.lfr_n != 1:
                 mat = apply_lfr(mat, self.lfr_m, self.lfr_n)
-            if self.cmvn_file is not None:
-                mat = apply_cmvn(mat, self.cmvn_file)
+            if self.cmvn is not None:
+                mat = apply_cmvn(mat, self.cmvn)
             feat_length = mat.size(0)
             feats.append(mat)
             feats_lens.append(feat_length)
@@ -196,8 +194,8 @@
             mat = input[i, :input_lengths[i], :]
             if self.lfr_m != 1 or self.lfr_n != 1:
                 mat = apply_lfr(mat, self.lfr_m, self.lfr_n)
-            if self.cmvn_file is not None:
-                mat = apply_cmvn(mat, self.cmvn_file)
+            if self.cmvn is not None:
+                mat = apply_cmvn(mat, self.cmvn)
             feat_length = mat.size(0)
             feats.append(mat)
             feats_lens.append(feat_length)
@@ -425,10 +423,8 @@
                     reserve_frame_idx = lfr_splice_frame_idxs[0] - minus_frame
                     # print('reserve_frame_idx:  ' + str(reserve_frame_idx))
                     # print('frame_frame:  ' + str(frame_from_waveforms))
-                    self.reserve_waveforms = self.waveforms[:,
-                                             reserve_frame_idx * self.frame_shift_sample_length:frame_from_waveforms * self.frame_shift_sample_length]
-                    sample_length = (
-                                                frame_from_waveforms - 1) * self.frame_shift_sample_length + self.frame_sample_length
+                    self.reserve_waveforms = self.waveforms[:, reserve_frame_idx * self.frame_shift_sample_length:frame_from_waveforms * self.frame_shift_sample_length]
+                    sample_length = (frame_from_waveforms - 1) * self.frame_shift_sample_length + self.frame_sample_length
                     self.waveforms = self.waveforms[:, :sample_length]
             else:
                 # update self.reserve_waveforms and self.lfr_splice_cache
@@ -487,9 +483,6 @@
         batch_size = input.size(0)
         feats = []
         feats_lens = []
-        logger.info("batch_size: {}".format(batch_size))
-        logger.info("input: {}".format(input))
-        logger.info("input_lengths: {}".format(input_lengths))
         for i in range(batch_size):
             waveform_length = input_lengths[i]
             waveform = input[i][:waveform_length]

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