// Update is called once per frame
void Update()
{
Debug.Log("Running");
// Check if the volume is above threshold
src.GetOutputData(volSamples, 0);
float avg = 0;
for (int i = 0; i < volSamples.Length; i++)
{
avg += Mathf.Abs(volSamples[i]);
}
avg = avg / volSamples.Length;
if (avg * 100 < volThreshold)
{
MainNote = "";
return;
}
// Get frequency information
src.GetSpectrumData(freqSamples, 0, FFTWindow.BlackmanHarris);
float[] hpsFreqSamples = new float[freqSamples.Length / 5];
for (int i = 1; i < hpsFreqSamples.Length; i++)
{
hpsFreqSamples[i] = freqSamples[i] * freqSamples[i * 2] * freqSamples[i * 3] * freqSamples[i * 4] * freqSamples[i * 5];
}
if (Input.GetKeyDown(KeyCode.D))
{
Debug.Log("Break");
}
// Loop over frequency bins within human range:
// - Calculate spectral flatness to determine if sound is noise/tone
// - Find out which frequency bin, within desired range, has the strongest signal
int minBin = minFreq * (2 * bins) / samplerate;
int maxBin = maxFreq * (2 * bins) / samplerate;
double geometricMean = 0;
float arithmeticMean = 0;
int maxIndex = 0;
float maxVal = 0.0f;
for (int i = minBin; i < maxBin && i < hpsFreqSamples.Length; i++)
{
// Update sums
if (hpsFreqSamples[i] != 0)
{
geometricMean += Mathf.Log(hpsFreqSamples[i]);
arithmeticMean += hpsFreqSamples[i];
}
// Update max frequency
if (hpsFreqSamples[i] >= maxVal)
{
maxIndex = i;
maxVal = hpsFreqSamples[i];
}
}
arithmeticMean /= (maxBin - minBin);
geometricMean /= (maxBin - minBin);
geometricMean = Math.Exp(geometricMean);
// Exclude audio that's too noisy (i.e., if the player isn't singing)
if (maxIndex == 0 || (geometricMean / arithmeticMean > specFlatnessThreshold))
{
MainNote = "";
return;
}
// Log frequency
float frequency = (float)maxIndex * samplerate / (2 * bins);
frequencyHistory.Enqueue(frequency);
if (frequencyHistory.Count >= queueHistorySize)
{
frequencyHistory.Dequeue();
}
float freqSum = 0;
foreach (float freq in frequencyHistory)
{
freqSum += freq;
}
// Log note
MainNote = guide.GetClosestNote(freqSum / frequencyHistory.Count);
/*
* - - - - - - - GRAPH RESULTS OF FFT - - - - - - - - - - -
*/
// Wipe previous graph contents
foreach (LineRenderer l in lines)
{
if (l != null)
{
Destroy(l.gameObject);
}
}
foreach (TextMesh label in labels)
{
if (label != null)
{
Destroy(label.gameObject);
}
}
lines.Clear();
labels.Clear();
// Figure out spacing for notches along the x-axis
minBin = minGraphedFreq * (2 * bins) / samplerate;
maxBin = maxGraphedFreq * (2 * bins) / samplerate;
float notchInterval = maxX / (maxBin - minBin);
// Loop over frequency bins within graphable range
for (int i = minBin; i < maxBin && i < hpsFreqSamples.Length; i++)
{
float binVal = hpsFreqSamples[i];
if (binVal != 0)
{
// Scale the y-axis so that the maximum value reaches the top
float yPos = (binVal / maxVal) * maxY;
// float yPos = binVal * graphingMult * maxY;
LineRenderer line = Instantiate <LineRenderer>(linePrefab);
line.SetPosition(0, new Vector3(notchInterval * i, 0));
line.SetPosition(1, new Vector3(notchInterval * i, yPos));
lines.Add(line);
}
if (i % labelSpacing == 0)
{
TextMesh label = Instantiate <TextMesh>(labelPrefab);
label.transform.position = new Vector3(notchInterval * i, -1);
label.text = (i * samplerate / (2 * bins)).ToString();
labels.Add(label);
}
}
}
// Update is called once per frame
void Update()
{
// Check if the volume is above threshold
src.GetOutputData(volSamples, 0);
float avg = 0;
for (int i = 0; i < volSamples.Length; i++)
{
avg += Mathf.Abs(volSamples[i]);
}
avg = avg / volSamples.Length;
//
if (avg * 100 < volThreshold)
{
MainNote = "";
return;
}
// Get frequency information
src.GetSpectrumData(freqSamples, 0, FFTWindow.BlackmanHarris);
float[] hpsFreqSamples = new float[freqSamples.Length / 5];
for (int i = 1; i < hpsFreqSamples.Length; i++)
{
hpsFreqSamples[i] = freqSamples[i] * freqSamples[i * 2] * freqSamples[i * 3] * freqSamples[i * 4] * freqSamples[i * 5];
}
if (Input.GetKeyDown(KeyCode.D))
{
Debug.Log("Break");
}
// Loop over frequency bins within human range:
// - Calculate spectral flatness to determine if sound is noise/tone
// - Find out which frequency bin, within desired range, has the strongest signal
int minBin = minFreq * (2 * bins) / samplerate;
int maxBin = maxFreq * (2 * bins) / samplerate;
double geometricMean = 0;
float arithmeticMean = 0;
int maxIndex = 0;
float maxVal = 0.0f;
for (int i = minBin; i < maxBin && i < hpsFreqSamples.Length; i++)
{
// Update sums
if (hpsFreqSamples[i] != 0)
{
geometricMean += Mathf.Log(hpsFreqSamples[i]);
arithmeticMean += hpsFreqSamples[i];
}
// Update max frequency
if (hpsFreqSamples[i] >= maxVal)
{
maxIndex = i;
maxVal = hpsFreqSamples[i];
}
}
arithmeticMean /= (maxBin - minBin);
geometricMean /= (maxBin - minBin);
geometricMean = Math.Exp(geometricMean);
// Exclude audio that's too noisy (i.e., if the player isn't singing)
if (maxIndex == 0 || (geometricMean / arithmeticMean > specFlatnessThreshold))
{
MainNote = "";
return;
}
// Log frequency
float frequency = (float)maxIndex * samplerate / (2 * bins);
// Compare with previous frequencies to get rid of outliers
frequencyHistory.Enqueue(frequency);
if (frequencyHistory.Count >= queueHistorySize)
{
frequencyHistory.Dequeue();
}
float freqSum = 0;
foreach (float freq in frequencyHistory)
{
freqSum += freq;
}
// Log note
MainNote = guide.GetClosestNote(freqSum / frequencyHistory.Count);
}
