| | |
| | | #### Sending Recognition Results |
| | | The message (serialized in JSON) is: |
| | | ```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":[]} |
| | | ``` |
| | | Parameter explanation: |
| | | ```text |
| | |
| | | `text`: the text output of speech recognition |
| | | `is_final`: indicating the end of recognition |
| | | `timestamp`:If AM is a timestamp model, it will return this field, indicating the timestamp, in the format of "[[100,200], [200,500]]" |
| | | `stamp_sents`:If AM is a timestamp model, it will return this field, indicating the stamp_sents, in the format of "[{'text_seg':'正 是 因 为','punc':',','start':'430','end':'1130','ts_list':[[430,670],[670,810],[810,1030],[1030,1130]]}]" |
| | | `stamp_sents`:If AM is a timestamp model, it will return this field, indicating the stamp_sents, in the format of [{"text_seg":"正 是 因 为","punc":",","start":"430","end":"1130","ts_list":[[430,670],[670,810],[810,1030],[1030,1130]]}] |
| | | ``` |
| | | |
| | | ## Real-time Speech Recognition |
| | |
| | | The message (serialized in JSON) is: |
| | | |
| | | ```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":[]} |
| | | ``` |
| | | Parameter explanation: |
| | | ```text |
| | |
| | | `text`: the text output of speech recognition |
| | | `is_final`: indicating the end of recognition |
| | | `timestamp`:If AM is a timestamp model, it will return this field, indicating the timestamp, in the format of "[[100,200], [200,500]]" |
| | | `stamp_sents`:If AM is a timestamp model, it will return this field, indicating the stamp_sents, in the format of "[{'text_seg':'正 是 因 为','punc':',','start':'430','end':'1130','ts_list':[[430,670],[670,810],[810,1030],[1030,1130]]}]" |
| | | `stamp_sents`:If AM is a timestamp model, it will return this field, indicating the stamp_sents, in the format of [{"text_seg":"正 是 因 为","punc":",","start":"430","end":"1130","ts_list":[[430,670],[670,810],[810,1030],[1030,1130]]}] |
| | | ``` |