Use ffmpeg read data (#1349)

夜雨飘零

2024-02-02 c2f174cd7811a7a11e6227ecb371887f97fd66d3

 runtime/docs/websocket_protocol.md

@@ -45,7 +45,7 @@
`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
@@ -94,5 +94,5 @@
`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]]}]
```