/* * _______ _____ _____ _____ * |__ __| | __ \ / ____| __ \ * | | __ _ _ __ ___ ___ ___| | | | (___ | |__) | * | |/ _` | '__/ __|/ _ \/ __| | | |\___ \| ___/ * | | (_| | | \__ \ (_) \__ \ |__| |____) | | * |_|\__,_|_| |___/\___/|___/_____/|_____/|_| * * ------------------------------------------------------------- * * TarsosDSP is developed by Joren Six at IPEM, University Ghent * * ------------------------------------------------------------- * * Info: http://0110.be/tag/TarsosDSP * Github: https://github.com/JorenSix/TarsosDSP * Releases: http://0110.be/releases/TarsosDSP/ * * TarsosDSP includes modified source code by various authors, * for credits and info, see README. * */ package be.tarsos.dsp.example.spectrum; import java.util.List; import be.tarsos.dsp.SpectralPeakProcessor; import be.tarsos.dsp.SpectralPeakProcessor.SpectralPeak; public class SpectralInfo{ private float[] magnitudes; private float[] frequencyEstimates; public SpectralInfo(float[] magnitudes, float[] frequencyEstimates){ this.magnitudes = magnitudes; this.frequencyEstimates = frequencyEstimates; } public List<SpectralPeak> getPeakList(int medianFilterLength,float noiseFloorFactor,int numberOfPeaks,int minPeakDistanceInCents) { float[] noiseFloor = getNoiseFloor(medianFilterLength, noiseFloorFactor); List<Integer> localMaxima = SpectralPeakProcessor.findLocalMaxima(magnitudes, noiseFloor); return SpectralPeakProcessor.findPeaks(magnitudes, frequencyEstimates, localMaxima, numberOfPeaks,minPeakDistanceInCents); } public float[] getMagnitudes(){ return magnitudes; } public float[] getNoiseFloor(int medianFilterLength,float noiseFloorFactor){ return SpectralPeakProcessor.calculateNoiseFloor(magnitudes, medianFilterLength, noiseFloorFactor); } }