安卓之从视频中提取音频的应用场景及技术优劣分析

public void extractAudioFromVideo(String videoFilePath, String audioFilePath) {
    String command = "ffmpeg -i " + videoFilePath + " -vn -acodec copy " + audioFilePath;
    try {
        Process process = Runtime.getRuntime().exec(command);
        process.waitFor();
    } catch (IOException | InterruptedException e) {
        e.printStackTrace();
    }
}

import android.media.MediaExtractor;
import android.media.MediaFormat;
import java.io.IOException;
import java.nio.ByteBuffer;

public class AudioExtractor {
    private MediaExtractor extractor;
    private ByteBuffer buffer;

    public AudioExtractor(String videoFilePath) throws IOException {
        extractor = new MediaExtractor();
        extractor.setDataSource(videoFilePath);
        int trackCount = extractor.getTrackCount();
        for (int i = 0; i < trackCount; i++) {
            MediaFormat mediaFormat = extractor.getTrackFormat(i);
            if (mediaFormat.getString(MediaFormat.KEY_MIME).startsWith("audio")) {
                extractor.selectTrack(i);
                break;
            }
        }

        buffer = ByteBuffer.allocate(1024);
        extractor.readSampleData(buffer, 0);
    }

    public ByteBuffer getAudioData() {
        return buffer;
    }
}

import org.tensorflow.lite.Interpreter;
import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.nio.MappedByteBuffer;
import java.nio.channels.FileChannel;

public class AudioExtractor {
    private Interpreter interpreter;
    private float[] inputMean;
    private float[] inputStd;

    public AudioExtractor(String modelPath) {
        try {
            interpreter = new Interpreter(loadModelFile(modelPath));
            initInputOutput();
        } catch (Exception e) {
            e.printStackTrace();
        }
    }

    private MappedByteBuffer loadModelFile(String modelPath) throws IOException {
        File file = new File(modelPath);
        FileInputStream inputStream = new FileInputStream(file);
        FileChannel fileChannel = inputStream.getChannel();
        long startOffset = file.length() - fileChannel.size();
        long declaredLength = fileChannel.size();
        return fileChannel.map(FileChannel.MapMode.READ_ONLY, startOffset, declaredLength);
    }

    private void initInputOutput() {
        // Initialize input and output tensors for the model
    }

    public byte[] extractAudioFromVideo(byte[] videoData) {
        float[][] inputData = preprocessVideoData(videoData);
        float[][] outputData = new float[1][1];

        try {
            interpreter.run(inputData, outputData);
        } catch (Exception e) {
            e.printStackTrace();
        }

        return postprocessAudioData(outputData);
    }

    private float[][] preprocessVideoData(byte[] videoData) {
        // Preprocess the video data into a suitable format for the model
        // This step may involve resizing, normalization, etc.
    }

    private byte[] postprocessAudioData(float[][] outputData) {
        // Postprocess the output data from the model to obtain audio data in a suitable format
    }
}