腾讯ASR一句话识别

前端

function sendRequest() {
  // const Appid = "1313203058";
  // const SecretId = "AKID60e2B3ez3btufAOL1QYP0KOAn9F4cuvg";
  // const SecretKey = "WmlTt4ybx2qNeeNp0uYv1pMdcKlwquiF";
  const url = "https://asr.tencentcloudapi.com";
  const headers = {
    Authorization:
      "TC3-HMAC-SHA256 Credential=AKID60e2B3ez3btufAOL1QYP0KOAn9F4cuvg/2024-07-18/asr/tc3_request, SignedHeaders=content-type;host, Signature=416596b5d6604685e39160130eacf8f02dd726b17b782d4f3f1c2f5e82df0ce7",
    "Content-Type": "application/json; charset=utf-8",
    Host: "asr.tencentcloudapi.com",
    "X-TC-Action": "SentenceRecognition",
    "X-TC-Timestamp": 1721296251,
    "X-TC-Version": "2019-06-14",
  };
  const data = {
    EngSerViceType: "16k_zh",
    SourceType: 1,
    VoiceFormat: "amr",
    Data: "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",
  };

  uni.request({
    url: url,
    method: "POST",
    header: headers,
    data: data,
    success: (response) => {
      console.log("成功:", response.data);
    },
    fail: (error) => {
      console.error("失败:", error);
    },
  });
}

node

const https = require("https");
const crypto = require("crypto");

function sha256(message, secret = "", encoding) {
  const hmac = crypto.createHmac("sha256", secret);
  return hmac.update(message).digest(encoding);
}
function getHash(message, encoding = "hex") {
  const hash = crypto.createHash("sha256");
  return hash.update(message).digest(encoding);
}
function getDate(timestamp) {
  const date = new Date(timestamp * 1000);
  const year = date.getUTCFullYear();
  const month = ("0" + (date.getUTCMonth() + 1)).slice(-2);
  const day = ("0" + date.getUTCDate()).slice(-2);
  return `${year}-${month}-${day}`;
}

const SECRET_ID = "AKID60e2B3ez3btufAOL1QYP0KOAn9F4cuvg";
const SECRET_KEY = "WmlTt4ybx2qNeeNp0uYv1pMdcKlwquiF";
const TOKEN = "";

const host = "asr.tencentcloudapi.com";
const service = "asr";
const region = "";
const action = "SentenceRecognition";
const version = "2019-06-14";
const timestamp = parseInt(String(new Date().getTime() / 1000));
const date = getDate(timestamp);
const payload =
  '{"EngSerViceType":"16k_zh","SourceType":1,"VoiceFormat":"amr","Data":"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"}';

// ************* 步骤 1：拼接规范请求串 *************
const signedHeaders = "content-type;host";
const hashedRequestPayload = getHash(payload);
const httpRequestMethod = "POST";
const canonicalUri = "/";
const canonicalQueryString = "";
const canonicalHeaders =
  "content-type:application/json; charset=utf-8\n" + "host:" + host + "\n";

const canonicalRequest =
  httpRequestMethod +
  "\n" +
  canonicalUri +
  "\n" +
  canonicalQueryString +
  "\n" +
  canonicalHeaders +
  "\n" +
  signedHeaders +
  "\n" +
  hashedRequestPayload;

// ************* 步骤 2：拼接待签名字符串 *************
const algorithm = "TC3-HMAC-SHA256";
const hashedCanonicalRequest = getHash(canonicalRequest);
const credentialScope = date + "/" + service + "/" + "tc3_request";
const stringToSign =
  algorithm +
  "\n" +
  timestamp +
  "\n" +
  credentialScope +
  "\n" +
  hashedCanonicalRequest;

// ************* 步骤 3：计算签名 *************
const kDate = sha256(date, "TC3" + SECRET_KEY);
const kService = sha256(service, kDate);
const kSigning = sha256("tc3_request", kService);
const signature = sha256(stringToSign, kSigning, "hex");

// ************* 步骤 4：拼接 Authorization *************
const authorization =
  algorithm +
  " " +
  "Credential=" +
  SECRET_ID +
  "/" +
  credentialScope +
  ", " +
  "SignedHeaders=" +
  signedHeaders +
  ", " +
  "Signature=" +
  signature;

// ************* 步骤 5：构造并发起请求 *************
const headers = {
  Authorization: authorization,
  "Content-Type": "application/json; charset=utf-8",
  Host: host,
  "X-TC-Action": action,
  "X-TC-Timestamp": timestamp,
  "X-TC-Version": version,
};
console.log("头部token", headers);
if (region) {
  headers["X-TC-Region"] = region;
}
if (TOKEN) {
  headers["X-TC-Token"] = TOKEN;
}

const options = {
  hostname: host,
  method: httpRequestMethod,
  headers,
};

const req = https.request(options, (res) => {
  let data = "";
  res.on("data", (chunk) => {
    data += chunk;
  });

  res.on("end", () => {
    console.log(data);
  });
});

req.on("error", (error) => {
  console.error(error);
});

req.write(payload);

req.end();

说明

腾讯一句话识别（前端传入音频文件base64到Data字段，注意音频类型）
https://cloud.tencent.com/document/product/1093/35646

前端替换X-TC-Timestamp和Authorization这两部分 取node生成的
    "X-TC-Timestamp": 1721296251,
     Authorization:
      "TC3-HMAC-SHA256 Credential=AKID60e2B3ez3btufAOL1QYP0KOAn9F4cuvg/2024-07-18/asr/tc3_request, SignedHeaders=content-type;host, Signature=416596b5d6604685e39160130eacf8f02dd726b17b782d4f3f1c2f5e82df0ce7",
    "Content-Type": "application/json; charset=utf-8",

如果不行替换整个头部token