public void Awake()
{
SpectrumData = new float[SpectrumSize];
PostScaledSpectrumData = new float[SpectrumSize];
PostScaledMinMaxSpectrumData = new float[SpectrumSize];
// Used for post scaling
float postScaleStep = 1.0f / SpectrumSize;
// Setup loopback audio and start listening
_realtimeAudio = new RealtimeAudio(SpectrumSize, ScalingStrategy, (spectrumData) =>
{
// Raw
SpectrumData = spectrumData;
float postScaledMax = 0.0f;
float postScaleAverage = 0.0f;
float totalPostScaledValue = 0.0f;
bool isIdle = true;
// Pass 1: Scaled. Scales progressively as moving up the spectrum
for (int i = 0; i < SpectrumSize; i++)
{
float postScaleValue = PostScaleCurve.Evaluate(postScaleStep * i) * SpectrumData[i] * PostScaleMultiplier;
PostScaledSpectrumData[i] = Mathf.Clamp(postScaleValue, 0, RealtimeAudio.MaxAudioValue);
if (PostScaledSpectrumData[i] > postScaledMax)
{
postScaledMax = PostScaledSpectrumData[i];
}
totalPostScaledValue += PostScaledSpectrumData[i];
if (spectrumData[i] > 0)
{
isIdle = false;
}
}
PostScaledMax = postScaledMax;
// Calculate "energy" using the post scale average
postScaleAverage = totalPostScaledValue / SpectrumSize;
_postScaleAverages.Add(postScaleAverage);
// We only want to track EnergyAverageCount averages.
// With a value of 1000, this will happen every couple seconds
if (_postScaleAverages.Count == EnergyAverageCount)
{
_postScaleAverages.RemoveAt(0);
}
// Average the averages to get the energy.
PostScaledEnergy = _postScaleAverages.Average();
// Pass 2: MinMax spectrum. Here we use the average.
// If a given band falls below the average, reduce it 50%
// otherwise boost it 50%
for (int i = 0; i < SpectrumSize; i++)
{
float minMaxed = PostScaledSpectrumData[i];
if (minMaxed <= postScaleAverage * ThresholdToMin)
{
minMaxed *= MinAmount;
}
else if (minMaxed >= postScaleAverage * ThresholdToMax)
{
minMaxed *= MaxAmount;
}
PostScaledMinMaxSpectrumData[i] = minMaxed;
}
IsIdle = isIdle;
});
_realtimeAudio.StartListen();
}
