examples/industrial_data_pretraining/paraformer_streaming/demo.py
@@ -28,10 +28,10 @@ chunk_stride = chunk_size[1] * 960 # 600ms、480ms cache = {} for i in range(int(len((speech)-1)/chunk_stride+1)): total_chunk_num = int(len((speech)-1)/chunk_stride+1) for i in range(total_chunk_num): speech_chunk = speech[i*chunk_stride:(i+1)*chunk_stride] is_final = i == int(len((speech)-1)/chunk_stride+1) is_final = i == total_chunk_num - 1 res = model(input=speech_chunk, cache=cache, is_final=is_final,
