腾讯云 语音转文字 spring

腾讯云的语音转文字服务可以使用Spring框架进行开发。以下是一个简单的示例：

1. 首先，在pom.xml文件中添加以下依赖：

<dependency>
    <groupId>com.tencentcloudapi</groupId>
    <artifactId>tencentcloud-sdk-java</artifactId>
    <version>3.0.69</version>
</dependency>

2. 创建一个名为SpeechRecognition的类，并在其中添加以下代码：

import com.tencentcloudapi.asr.v20190614.AsrClient;
import com.tencentcloudapi.asr.v20190614.models.*;
import org.springframework.stereotype.Service;

@Service
public class SpeechRecognition {

    public String recognize(String filePath) {

        try {
            Credential cred = new Credential("your-secret-id", "your-secret-key");

            ClientProfile clientProfile = new ClientProfile();
            clientProfile.setSignMethod(ClientProfile.SIGN_TC3_256);

            AsrClient client = new AsrClient(cred, "ap-guangzhou", clientProfile);

            // 将语音文件转为 Base64 编码字符串
            String fileContent = Base64.getEncoder().encodeToString(Files.readAllBytes(Paths.get(filePath)));

            // 构造请求
            SpeechRecognitionRequest req = new SpeechRecognitionRequest();
            req.setEngineModelType("16k_zh");
            req.setChannelNum(1L);
            req.setResTextFormat(0L);
            req.setDataLen((long)fileContent.length());
            req.setSourceType(1L);
            req.setData(fileContent);

            // 发送请求
            SpeechRecognitionResponse resp = client.SpeechRecognition(req);

            // 解析响应
            String text = "";
            for (AsrWordsRecognitionResult result : resp.getAsrWordsRecognitionResultSet()) {
                for (Word word : result.getWords()) {
                    text += word.getWord() + " ";
                }
            }

            return text.trim();
        } catch (Exception e) {
            e.printStackTrace();
            return "";
        }
    }
}

3. 在Spring Boot应用程序中，使用SpeechRecognition类来识别语音文件。例如：

@RestController
public class SpeechRecognitionController {

    @Autowired
    private SpeechRecognition speechRecognition;

    @PostMapping("/recognize")
    public String recognize(@RequestParam("file") MultipartFile file) {

        try {
            File f = new File(file.getOriginalFilename());
            FileOutputStream outputStream = new FileOutputStream(f);
            outputStream.write(file.getBytes());
            outputStream.close();

            String text = speechRecognition.recognize(f.getPath());

            f.delete();

            return text;
        } catch (Exception e) {
            e.printStackTrace();
            return "";
        }
    }
}

在这个示例中，我们使用Spring Boot框架来创建一个RESTful Web服务。该服务接收一个名为file的POST请求参数，该参数是一个语音文件。我们使用MultipartFile类来处理上传的文件。在控制器中，我们将文件保存到磁盘上，然后使用SpeechRecognition类来识别语音文件。最后，我们删除保存的文件并将识别结果返回给客户端。