liugz18
2024-07-18 d80ac2fd2df4e7fb8a28acfa512bb11472b5cc99
runtime/docs/websocket_protocol_zh.md
@@ -46,7 +46,7 @@
`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
@@ -96,5 +96,5 @@
`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]]}]
```