| | |
| | | `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 |
| | |
| | | `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]]}] |
| | | ``` |