用java写一个音频加载脉冲文件进行卷积混响的方法

以下是用Java编写的音频加载脉冲文件进行卷积混响的方法：

import javax.sound.sampled.*;
import java.io.*;

public class ConvolutionReverb {
    private static final int BUFFER_SIZE = 4096;

    public static void main(String[] args) {
        try {
            // Load audio file
            File audioFile = new File("path/to/audio.wav");
            AudioInputStream audioStream = AudioSystem.getAudioInputStream(audioFile);
            AudioFormat audioFormat = audioStream.getFormat();
            byte[] audioData = new byte[(int) audioStream.getFrameLength() * audioFormat.getFrameSize()];
            audioStream.read(audioData);

            // Load impulse response file
            File impulseFile = new File("path/to/impulse.wav");
            AudioInputStream impulseStream = AudioSystem.getAudioInputStream(impulseFile);
            AudioFormat impulseFormat = impulseStream.getFormat();
            byte[] impulseData = new byte[(int) impulseStream.getFrameLength() * impulseFormat.getFrameSize()];
            impulseStream.read(impulseData);

            // Convert audio and impulse data to float arrays
            float[] audioFloats = toFloatArray(audioData, audioFormat);
            float[] impulseFloats = toFloatArray(impulseData, impulseFormat);

            // Perform convolution
            float[] resultFloats = convolve(audioFloats, impulseFloats);

            // Convert result back to byte array
            byte[] resultData = toByteArray(resultFloats, audioFormat);

            // Save result to file
            AudioInputStream resultStream = new AudioInputStream(new ByteArrayInputStream(resultData), audioFormat, resultFloats.length / audioFormat.getFrameSize());
            AudioSystem.write(resultStream, AudioFileFormat.Type.WAVE, new File("path/to/output.wav"));
        } catch (Exception e) {
            e.printStackTrace();
        }
    }

    private static float[] toFloatArray(byte[] data, AudioFormat format) {
        int sampleSizeInBytes = format.getSampleSizeInBits() / 8;
        int channels = format.getChannels();
        float[] floats = new float[data.length / (sampleSizeInBytes * channels)];
        for (int i = 0; i < floats.length; i++) {
            int offset = i * channels * sampleSizeInBytes;
            for (int j = 0; j < channels; j++) {
                int value = 0;
                for (int k = 0; k < sampleSizeInBytes; k++) {
                    value <<= 8;
                    value |= (data[offset + j * sampleSizeInBytes + k] & 0xff);
                }
                floats[i * channels + j] = value / (float) Math.pow(2, format.getSampleSizeInBits() - 1);
            }
        }
        return floats;
    }

    private static byte[] toByteArray(float[] floats, AudioFormat format) {
        int sampleSizeInBytes = format.getSampleSizeInBits() / 8;
        int channels = format.getChannels();
        byte[] bytes = new byte[floats.length * sampleSizeInBytes * channels];
        for (int i = 0; i < floats.length; i++) {
            int offset = i * channels * sampleSizeInBytes;
            for (int j = 0; j < channels; j++) {
                int value = (int) (floats[i * channels + j] * Math.pow(2, format.getSampleSizeInBits() - 1));
                for (int k = 0; k < sampleSizeInBytes; k++) {
                    bytes[offset + j * sampleSizeInBytes + k] = (byte) (value >> (8 * (sampleSizeInBytes - 1 - k)));
                }
            }
        }
        return bytes;
    }

    private static float[] convolve(float[] signal, float[] impulseResponse) {
        int signalLength = signal.length;
        int impulseLength = impulseResponse.length;
        int resultLength = signalLength + impulseLength - 1;
        float[] result = new float[resultLength];

        for (int n = 0; n < resultLength; n++) {
            result[n] = 0;
            for (int k = 0; k < impulseLength; k++) {
                if (n - k >= 0 && n - k < signalLength) {
                    result[n] += signal[n - k] * impulseResponse[k];
                }
            }
        }

        return result;
    }
}

这个方法首先加载音频文件和脉冲文件，然后将它们转换为浮点数数组。接下来，它使用卷积算法将音频信号与脉冲响应混合。最后，它将结果转换回字节数组，并将其写入输出文件。