001/**
002 * Copyright (c) 2011, The University of Southampton and the individual contributors.
003 * All rights reserved.
004 *
005 * Redistribution and use in source and binary forms, with or without modification,
006 * are permitted provided that the following conditions are met:
007 *
008 *   *  Redistributions of source code must retain the above copyright notice,
009 *      this list of conditions and the following disclaimer.
010 *
011 *   *  Redistributions in binary form must reproduce the above copyright notice,
012 *      this list of conditions and the following disclaimer in the documentation
013 *      and/or other materials provided with the distribution.
014 *
015 *   *  Neither the name of the University of Southampton nor the names of its
016 *      contributors may be used to endorse or promote products derived from this
017 *      software without specific prior written permission.
018 *
019 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
020 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
021 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
022 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
023 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
024 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
025 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
026 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
027 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
028 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
029 */
030/**
031 *
032 */
033package org.openimaj.docs.tutorial.fund.audio;
034
035import java.net.MalformedURLException;
036import java.net.URL;
037
038import org.openimaj.audio.analysis.FourierTransform;
039import org.openimaj.video.xuggle.XuggleAudio;
040import org.openimaj.vis.general.BarVisualisation;
041
042/**
043 * Example that demonstrates the processing of audio to extract the FFT
044 * magnitudes and then visualise it.
045 *
046 * @author David Dupplaw (dpd@ecs.soton.ac.uk)
047 * @created 18 Jun 2013
048 * @version $Author$, $Revision$, $Date$
049 */
050public class FFT {
051        /**
052         * Main method
053         *
054         * @param args
055         *            Command-line args (unused)
056         * @throws MalformedURLException
057         */
058        public static void main(final String[] args) throws MalformedURLException {
059                // Open a URL to the sine wave sweep. If you have downloaded
060                // this file you should use a new File(<filename>) here.
061                final XuggleAudio xa = new XuggleAudio(
062                                new URL("http://www.audiocheck.net/download.php?" +
063                                                "filename=Audio/audiocheck.net_sweep20-20klin.wav"));
064
065                // Create the Fourier transform processor chained to the audio decoder
066                final FourierTransform fft = new FourierTransform(xa);
067
068                // Create a visualisation to show our FFT and open the window now
069                final BarVisualisation bv = new BarVisualisation(400, 200);
070                bv.showWindow("FFTs");
071                bv.getAxesRenderer().setDrawYTicks(false);
072
073                // Loop through the sample chunks from the audio capture thread
074                // sending each one through the feature extractor and displaying
075                // the results in the visualisation.
076                while (fft.nextSampleChunk() != null) {
077                        final float[][] ffts = fft.getMagnitudes();
078                        bv.setData(ffts[0]);
079                }
080        }
081}