java代码区分wav是人声还是杂音

要区分WAV是人声还是杂音，需要进行音频信号处理。以下是一个简单的Java代码示例，用于检测WAV文件中的人声和杂音：

import java.io.File;
import java.io.IOException;
import javax.sound.sampled.AudioFileFormat;
import javax.sound.sampled.AudioInputStream;
import javax.sound.sampled.AudioSystem;

public class AudioAnalyzer {
    public static void main(String[] args) throws IOException {
        File file = new File("sample.wav");
        AudioInputStream audioInputStream = AudioSystem.getAudioInputStream(file);

        AudioFileFormat fileFormat = AudioSystem.getAudioFileFormat(file);
        AudioFormat format = fileFormat.getFormat();
        int frameSize = format.getFrameSize();
        int channels = format.getChannels();
        int sampleSizeInBits = format.getSampleSizeInBits();

        byte[] buffer = new byte[1024 * frameSize];
        int bytesRead = 0;

        int totalSamples = 0;
        int voiceSamples = 0;
        int noiseSamples = 0;

        while ((bytesRead = audioInputStream.read(buffer)) != -1) {
            for (int i = 0; i < bytesRead; i += frameSize) {
                totalSamples++;

                // Extract the amplitude of the current sample
                int amplitude = 0;
                for (int j = 0; j < sampleSizeInBits / 8; j++) {
                    amplitude |= buffer[i + j] << (8 * j);
                }

                // Check if the sample is voice or noise
                if (amplitude > 10000) {
                    voiceSamples++;
                } else {
                    noiseSamples++;
                }
            }
        }

        double voiceRatio = (double)voiceSamples / totalSamples;
        double noiseRatio = (double)noiseSamples / totalSamples;

        System.out.println("Voice ratio: " + voiceRatio);
        System.out.println("Noise ratio: " + noiseRatio);
    }
}

该代码读取一个WAV文件，并将其解析为音频信号。然后，它将每个样本的振幅与一个阈值进行比较，以确定该样本是否属于人声或杂音。最后，它计算出音频文件中人声和杂音的比例，并输出结果。

请注意，该代码仅为示例。要进行更准确的音频信号处理，可能需要使用更复杂的算法和技术。