可本地私有化部署可区分说话人的ASR接口 | 返回字级别ASR接口 | 说话人日志语音识别 | 区分说话人语音识别 | FunASR如何区分说话人
FunASR如何区分说话人并语音识别，语音识别，区分角色ASR，开源的可内网部署的ASR
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1. 研究背景
在很多公司中要求不能调用云端的API，特别是政府单位和金融公司，在通话录音和会议录音等高保密级音频数据一般是不能走网络的，也就是我们必须要在公司内部机房中部署一套自己的ASR接口给公司的项目去调用。
在众多的开源ASR中，这个Whisper和FunASR是star数量很高的开源项目，其中这个whisper适合多语种情况，支持99种国际常用的语言，国内支持粤语和普通话，但是对于普通话的识别准确率不如FunASR中的Paraformer模型，所以这里基于FunASR来编写开发的API接口。并且FunASR官方中提供的是docker版本的，方便你的部署，不过这个docker版本的不支持区分说话人，下面自己使用python基于funasr这个依赖库开发了API接口，用于区分说话人并且进行语音识别。
2. 支持哪些系统部署
可以在任何支持运行python的系统中部署，目前已经验证了可以在Ubuntu，CentOS7，RedHat7，openEuler 22.03 (LTS-SP4)中部署，都是x86指令集的CPU，其它系统还没尝试过，大家也可以自己尝试一下。
3. 可以在没有网服务器中部署吗
可以的，不过部署难度会比有网的大，在2023年的时候给深圳一家银行内部部署过，确实挺麻烦的，银行服务的系统是隔离了外部网络的，内网部署会比较费时间，但是可以部署的，因为我之前部署过，在2023年的时候。
4. 这个接口可以返回字级别的时间戳吗
对于通话录音转写来说，不需要字级别的时间戳，但是对于有些场景有些公司需要用到字级别的时间戳，模型刚好也支持字级别时间戳输出，我之前开发的接口，忽略了字级别时间戳，因为用不上，最近有公司找到我让我添加字级别的时间戳，昨天开发完成了，效果如下截图所示。
具体返回的json数据我也给你粘贴出来，你们看看是不是符合你们的需求。
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"end": "00:00:42.170"
},
{
"word": "第",
"start": "00:00:42.450",
"end": "00:00:42.630"
},
{
"word": "二",
"start": "00:00:42.630",
"end": "00:00:42.810"
},
{
"word": "个",
"start": "00:00:42.810",
"end": "00:00:42.930"
},
{
"word": "人",
"start": "00:00:42.930",
"end": "00:00:43.170"
},
{
"word": "的",
"start": "00:00:43.230",
"end": "00:00:43.470"
},
{
"word": "一",
"start": "00:00:43.510",
"end": "00:00:43.650"
},
{
"word": "个",
"start": "00:00:43.650",
"end": "00:00:43.890"
},
{
"word": "声",
"start": "00:00:44.050",
"end": "00:00:44.290"
},
{
"word": "音",
"start": "00:00:44.310",
"end": "00:00:44.550"
}
]
},
{
"text": "然后这段音频中包含了两个人的声音，",
"start": "00:00:44.850",
"end": "00:00:48.010",
"spk": 0,
"word_info": [
{
"word": "然",
"start": "00:00:44.850",
"end": "00:00:45.030"
},
{
"word": "后",
"start": "00:00:45.030",
"end": "00:00:45.270"
},
{
"word": "这",
"start": "00:00:45.350",
"end": "00:00:45.510"
},
{
"word": "段",
"start": "00:00:45.510",
"end": "00:00:45.710"
},
{
"word": "音",
"start": "00:00:45.710",
"end": "00:00:45.870"
},
{
"word": "频",
"start": "00:00:45.870",
"end": "00:00:46.110"
},
{
"word": "中",
"start": "00:00:46.110",
"end": "00:00:46.350"
},
{
"word": "包",
"start": "00:00:46.510",
"end": "00:00:46.710"
},
{
"word": "含",
"start": "00:00:46.710",
"end": "00:00:46.950"
},
{
"word": "了",
"start": "00:00:46.950",
"end": "00:00:47.110"
},
{
"word": "两",
"start": "00:00:47.110",
"end": "00:00:47.310"
},
{
"word": "个",
"start": "00:00:47.310",
"end": "00:00:47.490"
},
{
"word": "人",
"start": "00:00:47.490",
"end": "00:00:47.570"
},
{
"word": "的",
"start": "00:00:47.570",
"end": "00:00:47.670"
},
{
"word": "声",
"start": "00:00:47.670",
"end": "00:00:47.770"
},
{
"word": "音",
"start": "00:00:47.770",
"end": "00:00:48.010"
}
]
},
{
"text": "一个是我自己的一个声音。",
"start": "00:00:48.030",
"end": "00:00:49.870",
"spk": 0,
"word_info": [
{
"word": "一",
"start": "00:00:48.030",
"end": "00:00:48.130"
},
{
"word": "个",
"start": "00:00:48.130",
"end": "00:00:48.310"
},
{
"word": "是",
"start": "00:00:48.310",
"end": "00:00:48.550"
},
{
"word": "我",
"start": "00:00:48.570",
"end": "00:00:48.810"
},
{
"word": "自",
"start": "00:00:48.810",
"end": "00:00:48.910"
},
{
"word": "己",
"start": "00:00:48.910",
"end": "00:00:49.090"
},
{
"word": "的",
"start": "00:00:49.090",
"end": "00:00:49.230"
},
{
"word": "一",
"start": "00:00:49.230",
"end": "00:00:49.329"
},
{
"word": "个",
"start": "00:00:49.329",
"end": "00:00:49.430"
},
{
"word": "声",
"start": "00:00:49.430",
"end": "00:00:49.630"
},
{
"word": "音",
"start": "00:00:49.630",
"end": "00:00:49.870"
}
]
},
{
"text": "然后另外一个是我播放啊，",
"start": "00:00:50.050",
"end": "00:00:52.430",
"spk": 0,
"word_info": [
{
"word": "然",
"start": "00:00:50.050",
"end": "00:00:50.230"
},
{
"word": "后",
"start": "00:00:50.230",
"end": "00:00:50.370"
},
{
"word": "另",
"start": "00:00:50.370",
"end": "00:00:50.470"
},
{
"word": "外",
"start": "00:00:50.470",
"end": "00:00:50.670"
},
{
"word": "一",
"start": "00:00:50.670",
"end": "00:00:50.770"
},
{
"word": "个",
"start": "00:00:50.770",
"end": "00:00:50.950"
},
{
"word": "是",
"start": "00:00:50.950",
"end": "00:00:51.130"
},
{
"word": "我",
"start": "00:00:51.130",
"end": "00:00:51.350"
},
{
"word": "播",
"start": "00:00:51.350",
"end": "00:00:51.530"
},
{
"word": "放",
"start": "00:00:51.530",
"end": "00:00:51.770"
},
{
"word": "啊",
"start": "00:00:52.190",
"end": "00:00:52.430"
}
]
},
{
"text": "另外一个呃视频里面的一个声音。",
"start": "00:00:52.470",
"end": "00:00:55.250",
"spk": 0,
"word_info": [
{
"word": "另",
"start": "00:00:52.470",
"end": "00:00:52.670"
},
{
"word": "外",
"start": "00:00:52.670",
"end": "00:00:52.870"
},
{
"word": "一",
"start": "00:00:52.870",
"end": "00:00:53.030"
},
{
"word": "个",
"start": "00:00:53.030",
"end": "00:00:53.270"
},
{
"word": "呃",
"start": "00:00:53.570",
"end": "00:00:53.810"
},
{
"word": "视",
"start": "00:00:53.850",
"end": "00:00:53.990"
},
{
"word": "频",
"start": "00:00:53.990",
"end": "00:00:54.190"
},
{
"word": "里",
"start": "00:00:54.190",
"end": "00:00:54.290"
},
{
"word": "面",
"start": "00:00:54.290",
"end": "00:00:54.470"
},
{
"word": "的",
"start": "00:00:54.470",
"end": "00:00:54.610"
},
{
"word": "一",
"start": "00:00:54.610",
"end": "00:00:54.710"
},
{
"word": "个",
"start": "00:00:54.710",
"end": "00:00:54.850"
},
{
"word": "声",
"start": "00:00:54.850",
"end": "00:00:55.010"
},
{
"word": "音",
"start": "00:00:55.010",
"end": "00:00:55.250"
}
]
},
{
"text": "然后现在我们啊来试一下啊，",
"start": "00:00:55.490",
"end": "00:00:58.190",
"spk": 0,
"word_info": [
{
"word": "然",
"start": "00:00:55.490",
"end": "00:00:55.670"
},
{
"word": "后",
"start": "00:00:55.670",
"end": "00:00:55.790"
},
{
"word": "现",
"start": "00:00:55.790",
"end": "00:00:55.910"
},
{
"word": "在",
"start": "00:00:55.910",
"end": "00:00:56.090"
},
{
"word": "我",
"start": "00:00:56.090",
"end": "00:00:56.170"
},
{
"word": "们",
"start": "00:00:56.170",
"end": "00:00:56.410"
},
{
"word": "啊",
"start": "00:00:56.750",
"end": "00:00:56.990"
},
{
"word": "来",
"start": "00:00:57.110",
"end": "00:00:57.349"
},
{
"word": "试",
"start": "00:00:57.510",
"end": "00:00:57.750"
},
{
"word": "一",
"start": "00:00:57.770",
"end": "00:00:57.870"
},
{
"word": "下",
"start": "00:00:57.870",
"end": "00:00:57.990"
},
{
"word": "啊",
"start": "00:00:57.990",
"end": "00:00:58.190"
}
]
},
{
"text": "现在有一分钟的一个音频了，",
"start": "00:00:58.190",
"end": "00:01:00.330",
"spk": 0,
"word_info": [
{
"word": "现",
"start": "00:00:58.190",
"end": "00:00:58.290"
},
{
"word": "在",
"start": "00:00:58.290",
"end": "00:00:58.530"
},
{
"word": "有",
"start": "00:00:58.530",
"end": "00:00:58.770"
},
{
"word": "一",
"start": "00:00:58.770",
"end": "00:00:58.890"
},
{
"word": "分",
"start": "00:00:58.890",
"end": "00:00:59.070"
},
{
"word": "钟",
"start": "00:00:59.070",
"end": "00:00:59.310"
},
{
"word": "的",
"start": "00:00:59.310",
"end": "00:00:59.510"
},
{
"word": "一",
"start": "00:00:59.510",
"end": "00:00:59.670"
},
{
"word": "个",
"start": "00:00:59.670",
"end": "00:00:59.910"
},
{
"word": "音",
"start": "00:00:59.930",
"end": "00:01:00.030"
},
{
"word": "频",
"start": "00:01:00.030",
"end": "00:01:00.210"
},
{
"word": "了",
"start": "00:01:00.210",
"end": "00:01:00.330"
}
]
},
{
"text": "我们试一下吧。",
"start": "00:01:00.330",
"end": "00:01:00.960",
"spk": 0,
"word_info": [
{
"word": "我",
"start": "00:01:00.330",
"end": "00:01:00.410"
},
{
"word": "们",
"start": "00:01:00.410",
"end": "00:01:00.490"
},
{
"word": "试",
"start": "00:01:00.490",
"end": "00:01:00.590"
},
{
"word": "一",
"start": "00:01:00.590",
"end": "00:01:00.690"
},
{
"word": "下",
"start": "00:01:00.690",
"end": "00:01:00.810"
},
{
"word": "吧",
"start": "00:01:00.810",
"end": "00:01:00.960"
}
]
}
]
}
}
5. 支持区分说话人吗
支持的，可以看我上面发的json数据中有一个spk标识就是区分不同的说话人。那如果想要知道具体这个人是谁，就需要用到声纹对比了。这里可以看我之前的那个“会议录音转写系统”。
6. 其它
腾讯云面向开发者汇聚海量精品云计算使用和开发经验，营造开放的云计算技术生态圈。
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