From f691014c8a97f2ea27dc72c9d3b374bdd05aa6c9 Mon Sep 17 00:00:00 2001
From: speech_asr <wangjiaming.wjm@alibaba-inc.com>
Date: 星期三, 15 三月 2023 15:43:18 +0800
Subject: [PATCH] update
---
funasr/models/frontend/wav_frontend.py | 9 +++++++--
1 files changed, 7 insertions(+), 2 deletions(-)
diff --git a/funasr/models/frontend/wav_frontend.py b/funasr/models/frontend/wav_frontend.py
index f61d7dd..ca22175 100644
--- a/funasr/models/frontend/wav_frontend.py
+++ b/funasr/models/frontend/wav_frontend.py
@@ -11,6 +11,8 @@
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:
@@ -485,13 +487,16 @@
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]
- waveform = waveform.unsqueeze(0).numpy()
+ waveform = waveform.numpy()
mat = eend_ola_feature.stft(waveform, self.frame_length, self.frame_shift)
mat = eend_ola_feature.transform(mat)
- mat = mat.splice(mat, context_size=self.lfr_m)
+ mat = eend_ola_feature.splice(mat, context_size=self.lfr_m)
mat = mat[::self.lfr_n]
mat = torch.from_numpy(mat)
feat_length = mat.size(0)
--
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