update

funasr/bin/asr_infer.py

@@ -488,15 +488,20 @@ class Speech2TextParaformer:
 
                 nbest_hyps = nbest_hyps[: self.nbest]
             else:
-                yseq = am_scores.argmax(dim=-1)
-                score = am_scores.max(dim=-1)[0]
-                score = torch.sum(score, dim=-1)
-                # pad with mask tokens to ensure compatibility with sos/eos tokens
-                yseq = torch.tensor(
-                    [self.asr_model.sos] + yseq.tolist() + [self.asr_model.eos], device=yseq.device
-                )
+                if pre_token_length[i] == 0:
+                    yseq = torch.tensor(
+                        [self.asr_model.sos] + [self.asr_model.eos], device=yseq.device
+                    )
+                    score = torch.tensor(0.0, device=yseq.device)
+                else:
+                    yseq = am_scores.argmax(dim=-1)
+                    score = am_scores.max(dim=-1)[0]
+                    score = torch.sum(score, dim=-1)
+                    # pad with mask tokens to ensure compatibility with sos/eos tokens
+                    yseq = torch.tensor(
+                        [self.asr_model.sos] + yseq.tolist() + [self.asr_model.eos], device=yseq.device
+                    )
                 nbest_hyps = [Hypothesis(yseq=yseq, score=score)]
-
             for hyp in nbest_hyps:
                 assert isinstance(hyp, (Hypothesis)), type(hyp)