更新记录

1.0.2（2021-10-12）

新增透明度设置，参数名：opacity , 默认0.4

1.0.1（2021-10-11）

新增语音文件回调

1.0.0（2021-09-17）

• 初次提交

平台兼容性

腾讯小程序实时语音识别， app使用语音文件识别

官方文档

• 微信小程序： 支持实时音频识别
• App：录音后通过后台Api进行语音文件识别。

为省事样式直接使用的color ui 的样式 ， 适合引入了ColorUi的项目使用。

<template>
    <view>
        <button @click="open">打开</button>
        <lyuan-tx-asr
            ref="asr"
            :uploadMethod="uploadFile" 
            @change="asrChange"     
                @fileChange="fileChange"
            appId=""
            secretId=""
            secretKey=""
        ></lyuan-tx-asr>
    </view>
</template>

<script>
export default {
    data() {
        return {};
    },

    methods: {
        open: function() {
            this.$refs.asr.show();
        },
        asrChange: function(res) {
            console.log('语音识别确认结果：' + res);
        },
        fileChange: function({file,content}) {
            console.log('录音文件', file);
        },
        uploadFile: function(tempFilePath) {
            return new Promise((resolve, reject) => {
                //调用你的接口把音频文件转为文字
                this.$minApi
                    .upload('txasr/SentenceRecognition', null, tempFilePath)
                    .then(res => {
                        if (res.code == 1) {
                            resolve(res.data.Result);
                        } else {
                            reject(e);
                        }
                    })
                    .catch(e => {
                        reject(e);
                    });
            });
        }
    }
};
</script>

<style lang="scss"></style>

.net core 使用腾讯sdk语音转文字参考

 using (var ms = new MemoryStream())
{
    var file = Request.Form.Files[0];
    file.CopyTo(ms);
    var bytes = ms.ToArray();
    Credential cred = new Credential
    {
        SecretId = "",
        SecretKey = ""
    };
    ClientProfile clientProfile = new ClientProfile();
    HttpProfile httpProfile = new HttpProfile {Endpoint = ("asr.tencentcloudapi.com")};
    clientProfile.HttpProfile = httpProfile;
    AsrClient client = new AsrClient(cred, "", clientProfile);
    SentenceRecognitionRequest req = new SentenceRecognitionRequest();
    req.ProjectId = 0;
    req.SubServiceType = 2;
    req.EngSerViceType = "16k_zh";
    req.SourceType = 1;
    req.VoiceFormat = "mp3";
    req.UsrAudioKey = Guid.NewGuid().ToString();
    req.Data = Convert.ToBase64String(bytes);
    req.DataLen = bytes.Length;
    SentenceRecognitionResponse resp = client.SentenceRecognitionSync(req);
    return resp;
}