| | |
| | | |
| | | 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) - 1 |
| | | is_final = i == total_chunk_num - 1 |
| | | res = model(input=speech_chunk, |
| | | cache=cache, |
| | | is_final=is_final, |
| | |
| | | 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) - 1 |
| | | is_final = i == total_chunk_num - 1 |
| | | res = model(input=speech_chunk, |
| | | cache=cache, |
| | | is_final=is_final, |