java提取wav的频谱
时间: 2023-05-31 16:02:35 浏览: 75
wav.js:wav.js是一个JavaScript音频库,用于读取和切片WAVE文件
以下是Java提取wav的频谱的示例代码:
```java
import java.io.File;
import java.io.IOException;
import javax.sound.sampled.AudioFileFormat;
import javax.sound.sampled.AudioInputStream;
import javax.sound.sampled.AudioSystem;
import javax.sound.sampled.UnsupportedAudioFileException;
public class WavSpectrumExtractor {
public static void main(String[] args) {
// 设置wav文件路径
String filePath = "path/to/wav/file.wav";
try {
// 读取wav文件
File file = new File(filePath);
AudioInputStream audioInputStream = AudioSystem.getAudioInputStream(file);
// 获取音频数据的格式
AudioFileFormat audioFileFormat = AudioSystem.getAudioFileFormat(file);
AudioFormat audioFormat = audioFileFormat.getFormat();
// 获取音频数据的长度和采样率
int numBytes = (int) file.length();
int sampleRate = (int) audioFormat.getSampleRate();
// 将音频数据读入缓冲区
byte[] audioBytes = new byte[numBytes];
audioInputStream.read(audioBytes);
// 将缓冲区中的音频数据转换为double类型的数组
int[] audioData = new int[numBytes / 2];
for (int i = 0; i < audioData.length; i++) {
audioData[i] = ((audioBytes[i * 2 + 1] & 0xff) << 8) + (audioBytes[i * 2] & 0xff);
}
// 计算FFT
DoubleFFT_1D fft = new DoubleFFT_1D(audioData.length);
double[] fftData = new double[audioData.length * 2];
for (int i = 0; i < audioData.length; i++) {
fftData[i * 2] = audioData[i];
fftData[i * 2 + 1] = 0;
}
fft.realForward(fftData);
// 计算频谱
double[] freqData = new double[audioData.length / 2];
for (int i = 0; i < freqData.length; i++) {
double real = fftData[i * 2];
double imag = fftData[i * 2 + 1];
freqData[i] = Math.sqrt(real * real + imag * imag);
}
// 输出频谱
for (int i = 0; i < freqData.length; i++) {
System.out.println((i * sampleRate / audioData.length) + "Hz: " + freqData[i]);
}
audioInputStream.close();
} catch (UnsupportedAudioFileException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
}
}
```
这个示例代码使用了JTransforms库中的DoubleFFT_1D类来计算FFT。在计算FFT之前,需要将音频数据转换为double类型的数组,并将其传递给DoubleFFT_1D对象的realForward()方法。计算FFT之后,需要计算频谱并输出结果。
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