update websocket_protocol

runtime/docs/websocket_protocol.md

@@ -45,7 +45,7 @@ Parameter explanation:
 `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 @@ Parameter explanation:
 `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]]}]
 ```

runtime/docs/websocket_protocol_zh.md

@@ -46,7 +46,7 @@ message为（采用json序列化）
 `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 @@ message为（采用json序列化）
 `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]]}]
 ```

runtime/readme.md

@@ -17,6 +17,7 @@ Currently, the FunASR runtime-SDK supports the deployment of file transcription
 To meet the needs of different users, we have prepared different tutorials with text and images for both novice and advanced developers.
 
 ### Whats-new
+- 2024/01/25: Optimized the VAD (Voice Activity Detection) data processing method,significantly reducing peak memory usage,memory leak optimization, docker image version funasr-runtime-sdk-en-cpu-0.1.3 (de438fbbe304).
 - 2024/01/03: Fixed known crash issues as well as memory leak problems, docker image version funasr-runtime-sdk-en-cpu-0.1.2 (0cdd9f4a4bb5).
 - 2023/11/08: Adaptation to runtime structure changes (FunASR/funasr/runtime -> FunASR/runtime), docker image version funasr-runtime-sdk-en-cpu-0.1.1 (27017f70f72a).
 - 2023/10/16: English File Transcription Service 1.0 released, docker image version funasr-runtime-sdk-en-cpu-0.1.0 (e0de03eb0163), refer to the detailed documentation（[here](https://mp.weixin.qq.com/s/DZZUTj-6xwFfi-96ml--4A)）
@@ -40,6 +41,7 @@ The FunASR real-time speech-to-text service software package not only performs r
 In order to meet the needs of different users for different scenarios, different tutorials are prepared:
 
 ### Whats-new
+- 2024/01/25: Real-time Transcription Service 1.7 released，optimization of the client-side, docker image version funasr-runtime-sdk-online-cpu-0.1.7 (81fca20da2ed)
 - 2024/01/03: Real-time Transcription Service 1.6 released，The 2pass-offline mode supports Ngram language model decoding and WFST hotwords, while also addressing known crash issues and memory leak problems, docker image version funasr-runtime-sdk-online-cpu-0.1.6 (f99925110d27)
 - 2023/11/09: Real-time Transcription Service 1.5 released，fix bug: without online results, docker image version funasr-runtime-sdk-online-cpu-0.1.5 (b16584b6d38b)
 - 2023/11/08: Real-time Transcription Service 1.4 released, supporting server-side loading of hotwords (updated hotword communication protocol), adaptation to runtime structure changes (FunASR/funasr/runtime -> FunASR/runtime), docker image version funasr-runtime-sdk-online-cpu-0.1.4(691974017c38).
@@ -68,6 +70,7 @@ Currently, the FunASR runtime-SDK supports the deployment of file transcription
 To meet the needs of different users, we have prepared different tutorials with text and images for both novice and advanced developers.
 
 ### Whats-new
+- 2024/01/25: File Transcription Service 4.2 released, optimized the VAD (Voice Activity Detection) data processing method, significantly reducing peak memory usage, memory leak optimization, docker image version funasr-runtime-sdk-cpu-0.4.2 (35817a3c4f17)
 - 2024/01/08: File Transcription Service 4.1 released, optimized format sentence-level timestamps, docker image version funasr-runtime-sdk-cpu-0.4.1 (0250f8ef981b)
 - 2024/01/03: File Transcription Service 4.0 released, Added support for 8k models, optimized timestamp mismatch issues and added sentence-level timestamps, improved the effectiveness of English word FST hotwords, supported automated configuration of thread parameters, and fixed known crash issues as well as memory leak problems, docker image version funasr-runtime-sdk-cpu-0.4.0 (c4483ee08f04)
 - 2023/11/08: File Transcription Service 3.0 released, supporting punctuation large model, Ngram model, fst hotwords (updated hotword communication protocol), server-side loading of hotwords, adaptation to runtime structure changes (FunASR/funasr/runtime -> FunASR/runtime), docker image version funasr-runtime-sdk-cpu-0.3.0 (caa64bddbb43), refer to the detailed documentation （[here]()）

runtime/readme_cn.md

@@ -19,6 +19,7 @@ FunASR是由阿里巴巴通义实验室语音团队开源的一款语音识别
 为了支持不同用户的需求，针对不同场景，准备了不同的图文教程：
 
 ### 最新动态
+- 2024/01/25:   英文离线文件转写服务 1.3 发布，优化vad数据处理方式，大幅降低峰值内存占用，内存泄漏优化，dokcer镜像版本funasr-runtime-sdk-en-cpu-0.1.3 (de438fbbe304)
 - 2024/01/03:   英文离线文件转写服务 1.2 发布，修复已知的crash问题及内存泄漏问题，dokcer镜像版本funasr-runtime-sdk-en-cpu-0.1.2 (0cdd9f4a4bb5)
 - 2023/11/08:   英文离线文件转写服务 1.1 发布，runtime结构变化适配（FunASR/funasr/runtime->FunASR/runtime），dokcer镜像版本funasr-runtime-sdk-en-cpu-0.1.1 (27017f70f72a)
 - 2023/10/16:   英文离线文件转写服务 1.0 发布，dokcer镜像版本funasr-runtime-sdk-en-cpu-0.1.0 (e0de03eb0163)，原理介绍文档（[点击此处](https://mp.weixin.qq.com/s/DZZUTj-6xwFfi-96ml--4A)）
@@ -34,6 +35,7 @@ FunASR实时语音听写服务软件包，既可以实时地进行语音转文
 为了支持不同用户的需求，针对不同场景，准备了不同的图文教程：
 
 ### 最新动态
+- 2024/01/25:   中文实时语音听写服务 1.7 发布，客户端优化，dokcer镜像版本funasr-runtime-sdk-online-cpu-0.1.7 (81fca20da2ed)
 - 2024/01/03:   中文实时语音听写服务 1.6 发布，2pass-offline模式支持Ngram语言模型解码、wfst热词，同时修复已知的crash问题及内存泄漏问题，dokcer镜像版本funasr-runtime-sdk-online-cpu-0.1.6 (f99925110d27)
 - 2023/11/09:   中文实时语音听写服务 1.5 发布，修复无实时结果的问题，dokcer镜像版本funasr-runtime-sdk-online-cpu-0.1.5 (b16584b6d38b)
 - 2023/11/08:   中文实时语音听写服务 1.4 发布，支持服务端加载热词(更新热词通信协议)、runtime结构变化适配（FunASR/funasr/runtime->FunASR/runtime），dokcer镜像版本funasr-runtime-sdk-online-cpu-0.1.4 (691974017c38)
@@ -54,6 +56,7 @@ FunASR实时语音听写服务软件包，既可以实时地进行语音转文
 为了支持不同用户的需求，针对不同场景，准备了不同的图文教程：
 
 ### 最新动态
+- 2024/01/25:   中文离线文件转写服务 4.2 发布，优化vad数据处理方式，大幅降低峰值内存占用，内存泄漏优化，dokcer镜像版本funasr-runtime-sdk-cpu-0.4.2 (35817a3c4f17)
 - 2024/01/08:   中文离线文件转写服务 4.1 发布，优化句子级时间戳json格式，dokcer镜像版本funasr-runtime-sdk-cpu-0.4.1 (0250f8ef981b)
 - 2024/01/03:   中文离线文件转写服务 4.0 发布，新增支持8k模型、优化时间戳不匹配问题及增加句子级别时间戳、优化英文单词fst热词效果、支持自动化配置线程参数，同时修复已知的crash问题及内存泄漏问题，dokcer镜像版本funasr-runtime-sdk-cpu-0.4.0 (c4483ee08f04)
 - 2023/11/08:   中文离线文件转写服务 3.0 发布，支持标点大模型、支持Ngram模型、支持fst热词(更新热词通信协议)、支持服务端加载热词、runtime结构变化适配（FunASR/funasr/runtime->FunASR/runtime），dokcer镜像版本funasr-runtime-sdk-cpu-0.3.0 (caa64bddbb43)，原理介绍文档（[点击此处](https://mp.weixin.qq.com/s/jSbnKw_m31BUUbTukPSOIw)）