1、pom依赖
<dependency>
<groupId>com.baidu.aip</groupId>
<artifactId>java-sdk</artifactId>
<version>4.16.18</version>
</dependency>
2、测试的demo
创建语音识别应用
代码中要配置
package com.zbIntel.integration.utils;
import com.baidu.aip.speech.AipSpeech;
import com.baidu.aip.util.Util;
import org.json.JSONObject;
import java.io.IOException;
public class Sample {
//设置APPID/AK/SK
public static final String APP_ID = "";
public static final String API_KEY = "";
public static final String SECRET_KEY = "";
private static final String FILENAME = "D:\\project\\speech-demo-master\\rest-api-asr\\java\\16k.wav";
public static void main(String[] args) throws IOException {
// 初始化一个AipSpeech
AipSpeech client = new AipSpeech(APP_ID, API_KEY, SECRET_KEY);
// 可选:设置网络连接参数
client.setConnectionTimeoutInMillis(2000);
client.setSocketTimeoutInMillis(60000);
// 可选:设置代理服务器地址, http和socket二选一,或者均不设置
// client.setHttpProxy("proxy_host", proxy_port); // 设置http代理
// client.setSocketProxy("proxy_host", proxy_port); // 设置socket代理
// 可选:设置log4j日志输出格式,若不设置,则使用默认配置
// 也可以直接通过jvm启动参数设置此环境变量
System.setProperty("aip.log4j.conf", "path/to/your/log4j.properties");
// 调用接口
JSONObject res = client.asr("D:\\project\\mygpt\\src\\main\\resources\\iat\\16k_10.pcm", "pcm", 16000, null);
System.out.println(res.toString(2));
// 对本地语音文件进行识别
String path = "D:\\project\\mygpt\\src\\main\\resources\\iat\\16k_10.pcm";
JSONObject asrRes = client.asr(FILENAME, "pcm", 16000, null);
System.out.println(asrRes);
// 对语音二进制数据进行识别
byte[] data = Util.readFileByBytes(path); //readFileByBytes仅为获取二进制数据示例
JSONObject asrRes2 = client.asr(data, "pcm", 16000, null);
System.out.println(asrRes2);
}
}
3、创建Service 支持语音转文字
package com.zbIntel.integration.yuyin;
import com.baidu.aip.speech.AipSpeech;
import org.json.JSONObject;
import org.springframework.stereotype.Service;
import java.util.HashMap;
import java.util.Map;
@Service
public class BaiduSpeechService {
public static final String APP_ID = "";
public static final String API_KEY = "";
public static final String SECRET_KEY = "";
private AipSpeech client;
public BaiduSpeechService() {
// 设置APPID/API Key/Secret Key
client = new AipSpeech(APP_ID, API_KEY, SECRET_KEY);
}
public Map<String, Object> recognize(String filePath) {
// 调用百度语音识别接口
client.setConnectionTimeoutInMillis(2000);
client.setSocketTimeoutInMillis(60000);
HashMap<String, Object> options = new HashMap<>();
options.put("dev_pid", 1537);
JSONObject res = client.asr(filePath, "wav", 16000, options);
Map<String, Object> resultMap = new HashMap<>();
if (res.get("result") != null) {
resultMap.put("result", res.get("result"));
return resultMap;
}
return resultMap;
}
}
3、创建controller 支持上传音频文件
package com.zbIntel.integration.controller;
import com.zbIntel.integration.utils.ReturnResult;
import com.zbIntel.integration.yuyin.BaiduSpeechService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PostMapping;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.web.multipart.MultipartFile;
import java.io.File;
import java.io.FileOutputStream;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Paths;
import java.util.Map;
@RestController
public class SpeechController {
@Autowired
private BaiduSpeechService speechService;
private static final String UPLOAD_DIR = "/tmp/upload/directory"; // 指定上传文件的保存目录
@PostMapping("/speech/recognize")
public ReturnResult recognizeSpeech(@RequestParam("file") MultipartFile file) throws IOException {
// 将上传的文件保存到服务器,调用语音识别服务
String filePath = saveFile(file);
try {
Map<String, Object> text = speechService.recognize(filePath);
return ReturnResult.ok().data(text);
} finally {
// 确保即使识别过程中出现异常,文件也能被删除
deleteFile(filePath);
}
}
private String saveFile(MultipartFile file) throws IOException {
String fileName = file.getOriginalFilename();
String filePath = UPLOAD_DIR + File.separator + fileName; // 构建完整的文件路径
File dest = new File(filePath);
// 确保目录存在
if (!dest.getParentFile().exists()) {
dest.getParentFile().mkdirs();
}
try (FileOutputStream outputStream = new FileOutputStream(dest)) {
outputStream.write(file.getBytes());
}
return filePath;
}
private void deleteFile(String filePath) {
try {
Files.delete(Paths.get(filePath));
} catch (IOException e) {
// 记录日志或者处理删除失败的情况
System.err.println("Failed to delete file: " + filePath);
e.printStackTrace();
}
}
}
4、创建页面 支持 录音 上报 音频文件 等 待开展