如何在Android Studio中集成tflite模型来识别声音(Java语言)

dependencies {
    implementation 'org.tensorflow:tensorflow-lite:2.5.0'
}

import android.content.res.AssetFileDescriptor;
import android.content.res.AssetManager;
import android.os.Bundle;
import android.util.Log;

import androidx.appcompat.app.AppCompatActivity;

import org.tensorflow.lite.Interpreter;

import java.io.FileInputStream;
import java.io.IOException;
import java.nio.MappedByteBuffer;
import java.nio.channels.FileChannel;

public class SoundRecognitionActivity extends AppCompatActivity {
    private Interpreter tflite;

    @Override
    protected void onCreate(Bundle savedInstanceState) {
        super.onCreate(savedInstanceState);

        try {
            tflite = new Interpreter(loadModelFile());
        } catch (IOException e) {
            Log.e("SoundRecognition", "Failed to load tflite model.");
        }

        // 在这里可以调用tflite模型进行声音识别
    }

    private MappedByteBuffer loadModelFile() throws IOException {
        AssetManager assetManager = getAssets();
        AssetFileDescriptor fileDescriptor = assetManager.openFd("model.tflite");
        FileInputStream inputStream = new FileInputStream(fileDescriptor.getFileDescriptor());
        FileChannel fileChannel = inputStream.getChannel();
        long startOffset = fileDescriptor.getStartOffset();
        long declaredLength = fileDescriptor.getDeclaredLength();
        return fileChannel.map(FileChannel.MapMode.READ_ONLY, startOffset, declaredLength);
    }
}