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How to integrate and use the intelligent speech recognition function of Baidu AI interface in a Java project

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Release: 2023-08-25 18:54:57
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How to integrate and use the intelligent speech recognition function of Baidu AI interface in a Java project

How to integrate and use the intelligent speech recognition function of Baidu AI interface in a Java project

With the continuous development of artificial intelligence technology, speech recognition has become a more increasingly important technology. Baidu AI provides a rich and powerful speech recognition interface, allowing developers to easily integrate it into their own Java projects. This article will introduce how to integrate and use the intelligent speech recognition function of Baidu AI interface in a Java project.

  1. Register Baidu AI developer account
    First, you need to register a Baidu AI developer account. On Baidu AI open platform, you can create a new application and obtain API Key and Secret Key. This information will be used in subsequent code.
  2. Import Java SDK
    Baidu AI provides Java SDK. You can import the SDK into your Java project to use the Baidu AI interface. You can find the download link for the Java SDK in the documentation of Baidu AI Open Platform.
  3. Introducing dependencies
    In your project, you need to introduce Java SDK dependencies. You can use build tools such as Maven or Gradle to automatically manage dependencies. The sample code is as follows:

Maven:

<dependency>
    <groupId>com.baidu.aip</groupId>
    <artifactId>java-sdk</artifactId>
    <version>xxx</version>
</dependency>
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Gradle:

implementation 'com.baidu.aip:java-sdk:xxx'
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Please confirm that the version number is consistent with the Java SDK you downloaded.

  1. Initialize the AipSpeech object
    In your code, you need to initialize an AipSpeech object and set the API Key and Secret Key. The code example is as follows:
import com.baidu.aip.speech.AipSpeech;

public class AIIntegrationExample {
    public static final String APP_ID = "your_app_id";
    public static final String API_KEY = "your_api_key";
    public static final String SECRET_KEY = "your_secret_key";

    public static void main(String[] args) {
        AipSpeech client = new AipSpeech(APP_ID, API_KEY, SECRET_KEY);
    }
}
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Please replace "your_app_id", "your_api_key" and "your_secret_key" with your own information.

  1. Calling the speech recognition interface
    The AipSpeech object provides multiple methods to implement different speech recognition functions. For example, you can perform recognition through voice files, or you can recognize the voice input from the microphone in real time. Here we take voice file recognition as an example. The code example is as follows:
import org.json.JSONObject;
import com.baidu.aip.speech.AipSpeech;

public class AIIntegrationExample {
    public static final String APP_ID = "your_app_id";
    public static final String API_KEY = "your_api_key";
    public static final String SECRET_KEY = "your_secret_key";

    public static void main(String[] args) {
        AipSpeech client = new AipSpeech(APP_ID, API_KEY, SECRET_KEY);

        String filePath = "path_to_your_audio_file"; // 语音文件的路径
        JSONObject result = client.asr(filePath, "pcm", 16000, null);
        System.out.println(result.toString());
    }
}
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Please replace "path_to_your_audio_file" with your own voice file path.

By calling the client.asr() method, you can submit the voice file to the Baidu AI interface for recognition and obtain the returned JSON result. You can process the recognized text information based on the returned JSON result.

The above are the steps to integrate and use the intelligent speech recognition function of Baidu AI interface in a Java project. By using the interface and SDK provided by Baidu AI, developers can easily integrate speech recognition functions into their own projects to achieve a more intelligent and humane interactive experience.

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