mirror of
https://github.com/vsariola/sointu.git
synced 2025-05-27 19:00:25 -04:00
69 lines
2.0 KiB
Go
69 lines
2.0 KiB
Go
package tracker
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import (
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"errors"
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"math"
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"github.com/vsariola/sointu"
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)
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type (
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Volume [2]float64
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// VolumeAnalyzer measures the volume in an AudioBuffer, in decibels relative to
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// full scale (0 dB = signal level of +-1)
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VolumeAnalyzer struct {
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Level Volume // current volume level of left and right channels
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Attack float64 // attack time constant in seconds
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Release float64 // release time constant in seconds
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Min float64 // minimum volume in decibels
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Max float64 // maximum volume in decibels
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}
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)
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var nanError = errors.New("NaN detected in master output")
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// Update updates the Level field, by analyzing the given buffer.
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//
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// Internally, it first converts the signal to decibels (0 dB = +-1). Then, the
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// average volume level is computed by smoothing the decibel values with a
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// exponentially decaying average, with a time constant Attack (in seconds) if
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// the decibel value is greater than current level and time constant Decay (in
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// seconds) if the decibel value is less than current level.
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//
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// Typical time constants for average level detection would be 0.3 seconds for
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// both attack and release. For peak level detection, attack could be 1.5e-3 and
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// release 1.5 (seconds)
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//
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// MinVolume and MaxVolume are hard limits in decibels to prevent negative
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// infinities for volumes
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func (v *VolumeAnalyzer) Update(buffer sointu.AudioBuffer) (err error) {
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// from https://en.wikipedia.org/wiki/Exponential_smoothing
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alphaAttack := 1 - math.Exp(-1.0/(v.Attack*44100))
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alphaRelease := 1 - math.Exp(-1.0/(v.Release*44100))
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for j := 0; j < 2; j++ {
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for i := 0; i < len(buffer); i++ {
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sample2 := float64(buffer[i][j] * buffer[i][j])
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if math.IsNaN(sample2) {
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if err == nil {
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err = nanError
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}
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continue
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}
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dB := 10 * math.Log10(sample2)
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if dB < v.Min || math.IsNaN(dB) {
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dB = v.Min
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}
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if dB > v.Max {
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dB = v.Max
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}
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a := alphaAttack
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if dB < v.Level[j] {
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a = alphaRelease
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}
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v.Level[j] += (dB - v.Level[j]) * a
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}
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}
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return err
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}
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