funasr/bin/vad_inference.py
@@ -107,10 +107,8 @@ feats_len = feats_len.int() else: raise Exception("Need to extract feats first, please configure frontend configuration") # batch = {"feats": feats, "waveform": speech, "is_final_send": True} # segments = self.vad_model(**batch) # b. Forward Encoder sreaming # b. Forward Encoder streaming t_offset = 0 step = min(feats_len, 6000) segments = [[]] * self.batch_size
