import org.apache.commons.math3.complex.Complex;_x000D_
import org.apache.commons.math3.transform.DftNormalization;_x000D_
import org.apache.commons.math3.transform.FastFourierTransformer;_x000D_
import org.apache.commons.math3.transform.TransformType;_x000D_
_x000D_
import javax.sound.sampled.AudioInputStream;_x000D_
import javax.sound.sampled.AudioSystem;_x000D_
import java.io.*;_x000D_
import javax.sound.sampled.UnsupportedAudioFileException;_x000D_
_x000D_
public class AudioProcessor {_x000D_
    public static void main(String[] args) {_x000D_
        File audioFile = new File("RecordAudio.wav");_x000D_
_x000D_
        try {_x000D_
_x000D_
            // Open het audiobestand_x000D_
            AudioInputStream audioStream = AudioSystem.getAudioInputStream(audioFile);_x000D_
_x000D_
            // Bepaal een buffergrootte_x000D_
            int bufferSize = 4096;_x000D_
            byte[] audioData = new byte[bufferSize];_x000D_
            int bytesRead;_x000D_
_x000D_
            // Lees de audiogegevens in de array_x000D_
            ByteArrayOutputStream byteArrayOutputStream = new ByteArrayOutputStream();_x000D_
            while ((bytesRead = audioStream.read(audioData, 0, bufferSize)) != -1) {_x000D_
                byteArrayOutputStream.write(audioData, 0, bytesRead);_x000D_
            }_x000D_
_x000D_
            byte[] audioDataArray = byteArrayOutputStream.toByteArray();_x000D_
_x000D_
            System.out.println("Audiogegevens gelezen: " + audioDataArray.length + " bytes");_x000D_
_x000D_
            // Voer Fourier-transformatie uit met Apache Commons Math_x000D_
            double[] audioSamples = new double[audioDataArray.length / 2];  // 2 wegen de stero geluid_x000D_
_x000D_
            for (int i = 0; i < audioSamples.length; i++) {_x000D_
                audioSamples[i] = (double)((audioDataArray[i * 2] & 0xFF) | (audioDataArray[i * 2 + 1] << 8)) / 32768.0;_x000D_
            }_x000D_
_x000D_
            // Calculate the next power of 2 for the length of audioSamples_x000D_
            int powerOf2Length = 1;_x000D_
            while (powerOf2Length < audioSamples.length) {_x000D_
                powerOf2Length *= 2;_x000D_
            }_x000D_
_x000D_
            // Pad the audio data with zeros to the next power of 2_x000D_
            double[] paddedAudioSamples = new double[powerOf2Length];_x000D_
            System.arraycopy(audioSamples, 0, paddedAudioSamples, 0, audioSamples.length);_x000D_
_x000D_
            // Voer de Fourier-transformatie uit op het opgevulde audioSamples_x000D_
            FastFourierTransformer transformer = new FastFourierTransformer(DftNormalization.STANDARD);_x000D_
            Complex[] complexSamples = transformer.transform(paddedAudioSamples, TransformType.FORWARD);_x000D_
            int[] positiveIntSamples = new int[complexSamples.length];_x000D_
            for (int i = 0; i < complexSamples.length; i++) {_x000D_
                complexSamples[i] = Complex.valueOf(complexSamples[i].abs()); // Ensure the value is positive_x000D_
            }_x000D_
            System.out.println(positiveIntSamples.length);_x000D_
_x000D_
            // Save the complexSamples to a text file_x000D_
            try (BufferedWriter writer = new BufferedWriter(new FileWriter("complexSamples.txt"))) {_x000D_
                for (Complex complex : complexSamples) {_x000D_
                    writer.write(complex.getReal() + " " + complex.getImaginary() + "\n");_x000D_
                }_x000D_
            } catch (IOException e) {_x000D_
                e.printStackTrace();_x000D_
            }_x000D_
_x000D_
_x000D_
            // Nu heb je de frequentiegegevens in de complexSamples-array en kun je verdere verwerking uitvoeren._x000D_
_x000D_
            // Sluit het audiobestand_x000D_
            audioStream.close();_x000D_
        } catch (UnsupportedAudioFileException | IOException e) {_x000D_
            e.printStackTrace();_x000D_
        }_x000D_
_x000D_
_x000D_
    }_x000D_
}_x000D_

// Bepaal een buffergrootte_x000D_
import org.apache.commons.math3.complex.Complex;_x000D_
import org.apache.commons.math3.transform.DftNormalization;_x000D_
import org.apache.commons.math3.transform.FastFourierTransformer;_x000D_
import org.apache.commons.math3.transform.TransformType;_x000D_
_x000D_
import javax.sound.sampled.AudioInputStream;_x000D_
import javax.sound.sampled.AudioSystem;_x000D_
import java.io.*;_x000D_
import javax.sound.sampled.UnsupportedAudioFileException;_x000D_
_x000D_
public class AudioProcessor {_x000D_
    public static void main(String[] args) {_x000D_
        File audioFile = new File("RecordAudio.wav");_x000D_
_x000D_
        try {_x000D_
_x000D_
            // Open het audiobestand_x000D_
            AudioInputStream audioStream = AudioSystem.getAudioInputStream(audioFile);_x000D_
_x000D_
            // Bepaal een<SUF>
            int bufferSize = 4096;_x000D_
            byte[] audioData = new byte[bufferSize];_x000D_
            int bytesRead;_x000D_
_x000D_
            // Lees de audiogegevens in de array_x000D_
            ByteArrayOutputStream byteArrayOutputStream = new ByteArrayOutputStream();_x000D_
            while ((bytesRead = audioStream.read(audioData, 0, bufferSize)) != -1) {_x000D_
                byteArrayOutputStream.write(audioData, 0, bytesRead);_x000D_
            }_x000D_
_x000D_
            byte[] audioDataArray = byteArrayOutputStream.toByteArray();_x000D_
_x000D_
            System.out.println("Audiogegevens gelezen: " + audioDataArray.length + " bytes");_x000D_
_x000D_
            // Voer Fourier-transformatie uit met Apache Commons Math_x000D_
            double[] audioSamples = new double[audioDataArray.length / 2];  // 2 wegen de stero geluid_x000D_
_x000D_
            for (int i = 0; i < audioSamples.length; i++) {_x000D_
                audioSamples[i] = (double)((audioDataArray[i * 2] & 0xFF) | (audioDataArray[i * 2 + 1] << 8)) / 32768.0;_x000D_
            }_x000D_
_x000D_
            // Calculate the next power of 2 for the length of audioSamples_x000D_
            int powerOf2Length = 1;_x000D_
            while (powerOf2Length < audioSamples.length) {_x000D_
                powerOf2Length *= 2;_x000D_
            }_x000D_
_x000D_
            // Pad the audio data with zeros to the next power of 2_x000D_
            double[] paddedAudioSamples = new double[powerOf2Length];_x000D_
            System.arraycopy(audioSamples, 0, paddedAudioSamples, 0, audioSamples.length);_x000D_
_x000D_
            // Voer de Fourier-transformatie uit op het opgevulde audioSamples_x000D_
            FastFourierTransformer transformer = new FastFourierTransformer(DftNormalization.STANDARD);_x000D_
            Complex[] complexSamples = transformer.transform(paddedAudioSamples, TransformType.FORWARD);_x000D_
            int[] positiveIntSamples = new int[complexSamples.length];_x000D_
            for (int i = 0; i < complexSamples.length; i++) {_x000D_
                complexSamples[i] = Complex.valueOf(complexSamples[i].abs()); // Ensure the value is positive_x000D_
            }_x000D_
            System.out.println(positiveIntSamples.length);_x000D_
_x000D_
            // Save the complexSamples to a text file_x000D_
            try (BufferedWriter writer = new BufferedWriter(new FileWriter("complexSamples.txt"))) {_x000D_
                for (Complex complex : complexSamples) {_x000D_
                    writer.write(complex.getReal() + " " + complex.getImaginary() + "\n");_x000D_
                }_x000D_
            } catch (IOException e) {_x000D_
                e.printStackTrace();_x000D_
            }_x000D_
_x000D_
_x000D_
            // Nu heb je de frequentiegegevens in de complexSamples-array en kun je verdere verwerking uitvoeren._x000D_
_x000D_
            // Sluit het audiobestand_x000D_
            audioStream.close();_x000D_
        } catch (UnsupportedAudioFileException | IOException e) {_x000D_
            e.printStackTrace();_x000D_
        }_x000D_
_x000D_
_x000D_
    }_x000D_
}_x000D_
