From 28a19dbc4e85d3b8a4ec2ef7483bba64d422b43f Mon Sep 17 00:00:00 2001
From: aky15 <ankeyu.aky@11.17.44.249>
Date: 星期三, 12 四月 2023 18:03:06 +0800
Subject: [PATCH] Merge remote-tracking branch 'origin/main' into dev_aky

---
 funasr/models/frontend/wav_frontend.py |   10 ++++------
 1 files changed, 4 insertions(+), 6 deletions(-)

diff --git a/funasr/models/frontend/wav_frontend.py b/funasr/models/frontend/wav_frontend.py
index f61d7dd..475a939 100644
--- a/funasr/models/frontend/wav_frontend.py
+++ b/funasr/models/frontend/wav_frontend.py
@@ -423,10 +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
@@ -488,10 +486,10 @@
         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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