funasr/bin/asr_inference_paraformer_streaming.py
@@ -205,9 +205,12 @@ results = [] cache_en = cache["encoder"] if speech.shape[1] < 16 * 60 and cache_en["is_final"]: if cache_en["start_idx"] == 0: return [] cache_en["tail_chunk"] = True feats = cache_en["feats"] feats_len = torch.tensor([feats.shape[1]]) self.asr_model.frontend = None results = self.infer(feats, feats_len, cache) return results else:
