| | |
| | | #### 发送识别结果 |
| | | message为(采用json序列化) |
| | | ```text |
| | | {"mode": "offline", "wav_name": "wav_name", "text": "asr ouputs", "is_final": True,"timestamp":"[[100,200], [200,500]]","stamp_sents":""} |
| | | {"mode": "offline", "wav_name": "wav_name", "text": "asr ouputs", "is_final": True,"timestamp":"[[100,200], [200,500]]","stamp_sents":[]} |
| | | ``` |
| | | 参数介绍: |
| | | ```text |
| | |
| | | `text`:表示语音识别输出文本 |
| | | `is_final`:表示识别结束 |
| | | `timestamp`:如果AM为时间戳模型,会返回此字段,表示时间戳,格式为 "[[100,200], [200,500]]"(ms) |
| | | `stamp_sents`:如果AM为时间戳模型,会返回此字段,表示句子级别时间戳,格式为 "[{'text_seg':'正 是 因 为','punc':',','start':'430','end':'1130','ts_list':[[430,670],[670,810],[810,1030],[1030,1130]]}]" |
| | | `stamp_sents`:如果AM为时间戳模型,会返回此字段,表示句子级别时间戳,格式为 [{"text_seg":"正 是 因 为","punc":",","start":"430","end":"1130","ts_list":[[430,670],[670,810],[810,1030],[1030,1130]]}] |
| | | ``` |
| | | |
| | | ## 实时语音识别 |
| | |
| | | #### 发送识别结果 |
| | | message为(采用json序列化) |
| | | ```text |
| | | {"mode": "2pass-online", "wav_name": "wav_name", "text": "asr ouputs", "is_final": True, "timestamp":"[[100,200], [200,500]]","stamp_sents":""} |
| | | {"mode": "2pass-online", "wav_name": "wav_name", "text": "asr ouputs", "is_final": True, "timestamp":"[[100,200], [200,500]]","stamp_sents":[]} |
| | | ``` |
| | | 参数介绍: |
| | | ```text |
| | |
| | | `text`:表示语音识别输出文本 |
| | | `is_final`:表示识别结束 |
| | | `timestamp`:如果AM为时间戳模型,会返回此字段,表示时间戳,格式为 "[[100,200], [200,500]]"(ms) |
| | | `stamp_sents`:如果AM为时间戳模型,会返回此字段,表示句子级别时间戳,格式为 "[{'text_seg':'正 是 因 为','punc':',','start':'430','end':'1130','ts_list':[[430,670],[670,810],[810,1030],[1030,1130]]}]" |
| | | `stamp_sents`:如果AM为时间戳模型,会返回此字段,表示句子级别时间戳,格式为 [{"text_seg":"正 是 因 为","punc":",","start":"430","end":"1130","ts_list":[[430,670],[670,810],[810,1030],[1030,1130]]}] |
| | | ``` |