public void setup() {
int window_height = 220;
size((int) (window_height * 5.12f), 220);
canvas = createGraphics((int) (window_height * 5.12f) / 2, 220, JAVA2D);
textMode(SCREEN);
textFont(createFont("SanSerif", 12));
minim = new Minim(this);
in = minim.getLineIn(Minim.MONO, buffer_size, sample_rate);
// create an FFT object that has a time-domain buffer
// the same size as line-in's sample buffer
fft = new FFT(in.bufferSize(), in.sampleRate());
// Tapered window important for log-domain display
fft.window(FFT.HAMMING);
// initialize peak-hold structures
peaksize = 1 + Math.round(fft.specSize() / binsperband);
peaks = new float[peaksize];
peak_age = new int[peaksize];
particles = new Particle[fft.specSize()];
for (int i = 0; i < fft.specSize(); i++) particles[i] = new Particle(i);
}
public void draw() {
background(0);
stroke(255);
// perform a forward FFT on the samples in jingle's mix buffer,
// which contains the mix of both the left and right channels of the file
fft.forward(jingle.mix);
for (int i = 0; i < fft.specSize(); i++) {
// draw the line for frequency band i, scaling it up a bit so we can see it
line(i, height / 2, i, height / 2 - fft.getBand(i) * 4);
}
stroke(255, 0, 0);
for (int beat : beats) {
float x = beat * width / totalSamples;
line(x, 0, x, height);
}
stroke(255, 255, 0);
float x = jingle.position() * width / jingle.length();
line(x, 0, x, height);
image(preview, 0, 0);
stroke(0, 255, 0);
float s = (float) width / samples.length;
line(loopStart * s, 0, loopStart * s, height);
line(loopEnd * s, 0, loopEnd * s, height);
}
public static List<Double> audioAnalysis(
String deviceName, String channel, long averages, NodeContext context) {
AudioSource source = (AudioSource) context.getData().get(deviceName + ".source");
if (source == null) return ImmutableList.of();
FFT fft = new FFT(source.bufferSize(), source.sampleRate());
fft.window(FFT.HANN);
if (averages > 0) fft.linAverages((int) averages);
if (channel.equals("left")) {
fft.forward(source.left);
} else if (channel.equals("right")) {
fft.forward(source.right);
} else {
fft.forward(source.mix);
}
ImmutableList.Builder<Double> b = new ImmutableList.Builder<Double>();
if (averages == 0) {
for (int i = 0; i < fft.specSize(); i++) b.add((double) fft.getBand(i));
} else {
for (int i = 0; i < fft.avgSize(); i++) b.add((double) fft.getAvg(i));
}
return b.build();
}
private void drawParticles() {
pushStyle();
colorMode(RGB, 255);
// background(0);
popStyle();
for (int i = 0; i < fft.specSize() - 1; i++) {
float val = dB_scale * (20 * ((float) Math.log10(fft.getBand(i))));
if (fft.getBand(i) == 0) {
val = -200;
} // avoid log(0)
particles[i].update(val);
particles[i].render();
}
}
private void drawSavedValues() {
background(0);
// now draw current spectrum
for (int i = 0; i < saved_freqs.length; i++) {
int[] c = calculated_color(i);
stroke(c[0], c[1], c[2]);
noFill();
int x1 =
(int)
map(
legend_width + i,
legend_width,
legend_width + spectrum_width,
legend_width,
width);
line(x1, spectrum_height, x1, saved_freqs[i]);
int x2 = x1 + 1;
line(x2, spectrum_height, x2, saved_freqs[i]);
}
int[] color_waveform = calculated_color(loudest_freq);
stroke(color_waveform[0], color_waveform[1], color_waveform[2]);
for (int i = 0; i < saved_buffer.length - 1; i++) {
line(i + 50, height / 2 + saved_buffer[i] * 50, i + 51, height / 2 + saved_buffer[i] * 50);
}
drawParticles();
if (drawScale) {
// add legend
// frequency axis
fill(255);
stroke(255);
int y = spectrum_height;
line(legend_width, y, legend_width + spectrum_width, y); // horizontal line
// x,y address of text is immediately to the left of the middle of the letters
textAlign(CENTER, TOP);
for (float freq = 0.0f; freq < in.sampleRate() / 2; freq += 2000.0) {
int x = legend_width + (fft.freqToIndex(freq) * 2); // which bin holds this frequency
line(x, y, x, y + 4); // tick mark
text(Math.round(freq / 1000) + "kHz", x, y + 5); // add text label
}
// level axis
int x = legend_width;
line(x, 0, x, spectrum_height); // vertictal line
textAlign(RIGHT, CENTER);
for (float level = -100.0f; level < 100.0; level += 20.0) {
y = spectrum_height - (int) (dB_scale * (level + gain));
line(x, y, x - 3, y);
text((int) level + " dB", x - 5, y);
}
}
canvas.endDraw();
image(canvas, 0, 0, width, height); // draw canvas streched to sketch dimensions
}
public static List<Double> audioLogAvg(
String deviceName, String channel, long baseFreq, long bandsPerOctave, NodeContext context) {
AudioSource source = (AudioSource) context.getData().get(deviceName + ".source");
if (source == null) return ImmutableList.of();
FFT fft = new FFT(source.bufferSize(), source.sampleRate());
fft.window(FFT.HANN);
fft.logAverages((int) baseFreq, (int) bandsPerOctave);
if (channel.equals("left")) {
fft.forward(source.left);
} else if (channel.equals("right")) {
fft.forward(source.right);
} else {
fft.forward(source.mix);
}
ImmutableList.Builder<Double> b = new ImmutableList.Builder<Double>();
for (int i = 0; i < fft.avgSize(); i++) b.add((double) fft.getAvg(i));
return b.build();
}
public void draw() {
canvas.beginDraw();
if (paused) {
drawSavedValues();
return;
}
// clear window
// background(0);
fill(0, fill_amount); // semi-transparent white
rect(0, 0, width, height);
fill(random(255));
// perform a forward FFT on the samples in input buffer
fft.forward(in.mix);
loudest_freq = 0;
loudest_db = -1000;
// now draw current spectrum
for (int i = 0; i < spectrum_width; i++) {
// draw the line for frequency band i using dB scale
float val = dB_scale * (20 * ((float) Math.log10(fft.getBand(i))) + gain);
if (fft.getBand(i) == 0) {
val = -200;
} // avoid log(0)
int y = spectrum_height - Math.round(val);
y = y > spectrum_height ? spectrum_height : y;
if (i > 20 && val > loudest_db) {
loudest_db = (int) val;
loudest_freq = i;
}
int[] c = calculated_color(i);
stroke(c[0], c[1], c[2]);
noFill();
int x1 =
(int)
map(
legend_width + i,
legend_width,
legend_width + spectrum_width,
legend_width,
width);
// int x1 = legend_width + i;
int x2 = x1 + 1;
if (i < 520) {
line(x1, spectrum_height, x1, y);
line(x2, spectrum_height, x2, y);
}
saved_freqs[i] = y;
}
int[] color_waveform = calculated_color(loudest_freq);
println(
"Peak: "
+ loudest_freq
+ " dB: "
+ loudest_db
+ " Color "
+ color_waveform[0]
+ " "
+ color_waveform[1]
+ " "
+ color_waveform[2]);
stroke(color_waveform[0], color_waveform[1], color_waveform[2]);
drawWaveForm();
drawParticles();
// level axis
if (drawScale) {
// add legend
// frequency axis
fill(255);
stroke(255);
int y = spectrum_height;
// line(legend_width,y,legend_width+spectrum_width,y); // horizontal line
// x,y address of text is immediately to the left of the middle of the letters
textAlign(CENTER, TOP);
for (float freq = 0.0f; freq < in.sampleRate() / 2; freq += 2000.0) {
int x = legend_width + (fft.freqToIndex(freq) * 2); // which bin holds this frequency
line(x, y, x, y + 4); // tick mark
text(Math.round(freq / 1000) + "kHz", x, y + 5); // add text label
}
int x = legend_width;
line(x, 0, x, spectrum_height); // vertictal line
textAlign(RIGHT, CENTER);
for (float level = -100.0f; level < 100.0; level += 20.0) {
y = spectrum_height - (int) (dB_scale * (level + gain));
line(x, y, x - 3, y);
text((int) level + " dB", x - 5, y);
}
}
drawArcs();
canvas.endDraw();
image(canvas, 0, 0, width, height); // draw canvas streched to sketch dimensions
}