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Author SHA1 Message Date
Storm Dragon
e84cb67500 Noise suppression tweaks. 2026-02-21 02:08:55 -05:00
Storm Dragon
3db526f42b Noise suppression tweaks. 2026-02-21 02:08:30 -05:00
4 changed files with 274 additions and 85 deletions

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@@ -44,7 +44,7 @@ Barnard includes real-time noise suppression for microphone input to filter out
### Features
- **Real-time processing**: Noise suppression is applied during audio capture with minimal latency
- **Configurable threshold**: Adjustable noise gate threshold (default: 0.02)
- **Configurable amount**: Adjustable suppression amount via threshold value (default: `0.08`)
- **Persistent settings**: Noise suppression preferences are saved in your configuration file
- **Multiple control methods**: Toggle via hotkey, command line flag, or FIFO commands
@@ -57,10 +57,11 @@ Barnard includes real-time noise suppression for microphone input to filter out
### Configuration Example
```toml
noisesuppressionenabled = true
noisesuppressionthreshold = 0.02
noisesuppressionthreshold = 0.08
```
The noise suppression algorithm uses a combination of high-pass filtering and noise gating to reduce unwanted background sounds while preserving voice quality.
`noisesuppressionthreshold` accepts values from `0.0` to `1.0`, where higher values apply stronger suppression.
The noise suppression algorithm uses adaptive noise-floor tracking, transient suppression, and smoothed gain reduction to reduce background noise while preserving voice quality.
## FIFO Control

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@@ -128,7 +128,7 @@ func (c *Config) LoadConfig() {
jc.NoiseSuppressionEnabled = &enabled
}
if c.config.NoiseSuppressionThreshold == nil {
threshold := float32(0.02)
threshold := float32(0.08)
jc.NoiseSuppressionThreshold = &threshold
}
if c.config.VoiceEffect == nil {
@@ -249,12 +249,25 @@ func (c *Config) SetNoiseSuppressionEnabled(enabled bool) {
func (c *Config) GetNoiseSuppressionThreshold() float32 {
if c.config.NoiseSuppressionThreshold == nil {
return 0.02
return 0.08
}
return *c.config.NoiseSuppressionThreshold
threshold := *c.config.NoiseSuppressionThreshold
if threshold < 0.0 {
return 0.0
}
if threshold > 1.0 {
return 1.0
}
return threshold
}
func (c *Config) SetNoiseSuppressionThreshold(threshold float32) {
if threshold < 0.0 {
threshold = 0.0
}
if threshold > 1.0 {
threshold = 1.0
}
c.config.NoiseSuppressionThreshold = &threshold
c.SaveConfig()
}

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@@ -2,6 +2,7 @@ package noise
import (
"math"
"sync"
)
// Ensure Suppressor implements the NoiseProcessor interface
@@ -12,129 +13,200 @@ var _ interface {
// Suppressor handles noise suppression for audio samples
type Suppressor struct {
enabled bool
threshold float32
gainFactor float32
// Simple high-pass filter state for DC removal
mu sync.Mutex
enabled bool
threshold float32
// High-pass filter state for low-frequency rumble/DC removal.
prevInput float32
prevOutput float32
alpha float32
// Click detection state
clickThreshold float32
clickDecay float32
recentClickEnergy float32
hpAlpha float32
// Adaptive suppression state.
envelope float32
noiseFloor float32
suppressionGain float32
clickEnergy float32
// Tunables.
envelopeAttack float32
envelopeRelease float32
noiseAttack float32
noiseRelease float32
gainAttack float32
gainRelease float32
speechRatio float32
clickDecay float32
minNoiseFloor float32
}
// NewSuppressor creates a new noise suppressor
func NewSuppressor() *Suppressor {
return &Suppressor{
enabled: false,
threshold: 0.01, // Reduced noise threshold level for less aggressive filtering
gainFactor: 0.9, // Less aggressive gain reduction for noise
alpha: 0.98, // More stable high-pass filter coefficient
clickThreshold: 0.15, // Threshold for detecting keyboard clicks
clickDecay: 0.95, // How quickly click energy decays
recentClickEnergy: 0.0, // Tracks recent click activity
s := &Suppressor{
enabled: false,
threshold: 0.08,
hpAlpha: 0.995,
envelopeAttack: 0.18,
envelopeRelease: 0.02,
noiseAttack: 0.08,
noiseRelease: 0.002,
gainAttack: 0.35,
gainRelease: 0.02,
speechRatio: 4.0,
clickDecay: 0.93,
minNoiseFloor: 0.0008,
suppressionGain: 1.0,
}
s.resetStateLocked()
return s
}
// SetEnabled enables or disables noise suppression
func (s *Suppressor) SetEnabled(enabled bool) {
s.mu.Lock()
defer s.mu.Unlock()
if s.enabled == enabled {
return
}
s.enabled = enabled
s.resetStateLocked()
}
// IsEnabled returns whether noise suppression is enabled
func (s *Suppressor) IsEnabled() bool {
s.mu.Lock()
defer s.mu.Unlock()
return s.enabled
}
// SetThreshold sets the noise threshold (0.0 to 1.0)
func (s *Suppressor) SetThreshold(threshold float32) {
if threshold >= 0.0 && threshold <= 1.0 {
s.threshold = threshold
}
s.mu.Lock()
defer s.mu.Unlock()
s.threshold = clampFloat32(threshold, 0.0, 1.0)
}
// GetThreshold returns the current noise threshold
func (s *Suppressor) GetThreshold() float32 {
s.mu.Lock()
defer s.mu.Unlock()
return s.threshold
}
// ProcessSamples applies noise suppression to audio samples
func (s *Suppressor) ProcessSamples(samples []int16) {
s.mu.Lock()
defer s.mu.Unlock()
if !s.enabled || len(samples) == 0 {
return
}
// Calculate frame energy for click detection
var frameEnergy float32 = 0.0
for _, sample := range samples {
floatSample := float32(sample) / 32767.0
frameEnergy += floatSample * floatSample
}
frameEnergy = float32(math.Sqrt(float64(frameEnergy / float32(len(samples)))))
// Detect sudden energy spikes (likely keyboard clicks)
energySpike := frameEnergy - s.recentClickEnergy
isClick := energySpike > s.clickThreshold && frameEnergy > 0.05
// Update recent click energy with decay
s.recentClickEnergy = s.recentClickEnergy*s.clickDecay + frameEnergy*(1.0-s.clickDecay)
// Improved noise suppression algorithm
intensity := s.thresholdToIntensity()
minGain := 1.0 - (0.92 * intensity)
eps := float32(1e-6)
for i, sample := range samples {
// Convert to float for processing
floatSample := float32(sample) / 32767.0
// Apply high-pass filter for DC removal
filtered := s.highPassFilter(floatSample)
// Calculate signal strength (RMS-like)
strength := float32(math.Abs(float64(filtered)))
// Apply noise gate with smooth transition
var gainReduction float32 = 1.0
// If we detected a click, apply stronger suppression
if isClick {
gainReduction = s.gainFactor * 0.3 // Much stronger reduction for clicks
} else if strength < s.threshold {
// Normal noise gate for low-level sounds
gainReduction = strength / s.threshold
if gainReduction < s.gainFactor {
gainReduction = s.gainFactor
}
}
// Apply gain reduction
processed := filtered * gainReduction
// Convert back to int16 with proper clipping
processedInt := processed * 32767.0
if processedInt > 32767 {
processedInt = 32767
} else if processedInt < -32767 {
processedInt = -32767
}
samples[i] = int16(processedInt)
floatSample := float32(sample) / 32768.0
filtered := s.highPassFilterLocked(floatSample)
absSample := float32(math.Abs(float64(filtered)))
s.updateEnvelopeLocked(absSample)
s.updateNoiseFloorLocked()
snr := s.envelope / (s.noiseFloor + eps)
voicePresence := clampFloat32((snr-1.0)/(s.speechRatio-1.0), 0.0, 1.0)
targetGain := minGain + ((1.0 - minGain) * voicePresence)
targetGain = s.applyTransientSuppressionLocked(absSample, voicePresence, minGain, targetGain)
s.applyGainSmoothingLocked(targetGain)
processed := filtered * s.suppressionGain
processed = clampFloat32(processed, -1.0, 1.0)
samples[i] = int16(processed * 32767.0)
}
}
// highPassFilter applies a simple high-pass filter to remove DC component
func (s *Suppressor) highPassFilter(input float32) float32 {
func (s *Suppressor) highPassFilterLocked(input float32) float32 {
// Simple high-pass filter: y[n] = alpha * (y[n-1] + x[n] - x[n-1])
output := s.alpha * (s.prevOutput + input - s.prevInput)
output := s.hpAlpha * (s.prevOutput + input - s.prevInput)
s.prevInput = input
s.prevOutput = output
return output
}
func (s *Suppressor) thresholdToIntensity() float32 {
// Keep lower legacy threshold values meaningful while allowing up to very aggressive suppression.
return 1.0 - float32(math.Exp(float64(-28.0*clampFloat32(s.threshold, 0.0, 1.0))))
}
func (s *Suppressor) updateEnvelopeLocked(absSample float32) {
if absSample > s.envelope {
s.envelope += s.envelopeAttack * (absSample - s.envelope)
} else {
s.envelope += s.envelopeRelease * (absSample - s.envelope)
}
if s.envelope < s.minNoiseFloor {
s.envelope = s.minNoiseFloor
}
}
func (s *Suppressor) updateNoiseFloorLocked() {
coef := s.noiseRelease
if s.envelope < s.noiseFloor*2.2 {
coef = s.noiseAttack
}
s.noiseFloor += coef * (s.envelope - s.noiseFloor)
if s.noiseFloor < s.minNoiseFloor {
s.noiseFloor = s.minNoiseFloor
}
}
func (s *Suppressor) applyTransientSuppressionLocked(absSample float32, voicePresence float32, minGain float32, targetGain float32) float32 {
s.clickEnergy = (s.clickEnergy * s.clickDecay) + (absSample * (1.0 - s.clickDecay))
transient := absSample - s.clickEnergy
transientThreshold := 0.04 + (0.08 * (1.0 - voicePresence))
if transient > transientThreshold && voicePresence < 0.65 {
clickGain := minGain * 0.55
if clickGain < targetGain {
targetGain = clickGain
}
}
return clampFloat32(targetGain, 0.02, 1.0)
}
func (s *Suppressor) applyGainSmoothingLocked(targetGain float32) {
if targetGain < s.suppressionGain {
s.suppressionGain += s.gainAttack * (targetGain - s.suppressionGain)
} else {
s.suppressionGain += s.gainRelease * (targetGain - s.suppressionGain)
}
s.suppressionGain = clampFloat32(s.suppressionGain, 0.02, 1.0)
}
func (s *Suppressor) resetStateLocked() {
s.prevInput = 0.0
s.prevOutput = 0.0
s.envelope = s.minNoiseFloor
s.noiseFloor = s.minNoiseFloor
s.suppressionGain = 1.0
s.clickEnergy = 0.0
}
func clampFloat32(value float32, min float32, max float32) float32 {
if value < min {
return min
}
if value > max {
return max
}
return value
}
// ProcessSamplesAdvanced applies more sophisticated noise suppression
// This is a placeholder for future RNNoise integration
// Placeholder for future RNNoise integration.
func (s *Suppressor) ProcessSamplesAdvanced(samples []int16) {
// TODO: Integrate RNNoise or other advanced algorithms
s.ProcessSamples(samples)
}
}

103
noise/suppression_test.go Normal file
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@@ -0,0 +1,103 @@
package noise
import (
"math"
"testing"
)
func TestSuppressorDisabledBypassesSamples(t *testing.T) {
suppressor := NewSuppressor()
samples := []int16{100, -200, 300, -400, 500}
original := append([]int16(nil), samples...)
suppressor.ProcessSamples(samples)
for i := range samples {
if samples[i] != original[i] {
t.Fatalf("expected sample %d to remain unchanged, got %d want %d", i, samples[i], original[i])
}
}
}
func TestSuppressorAttenuatesLowLevelNoise(t *testing.T) {
suppressor := NewSuppressor()
suppressor.SetEnabled(true)
suppressor.SetThreshold(0.08)
input := makeSineFrame(600, 700)
originalRMS := frameRMS(input)
processed := append([]int16(nil), input...)
suppressor.ProcessSamples(processed)
processedRMS := frameRMS(processed)
if processedRMS >= originalRMS*0.8 {
t.Fatalf("expected low-level noise attenuation, got RMS %.2f from %.2f", processedRMS, originalRMS)
}
}
func TestSuppressorPreservesSpeechLikeSignal(t *testing.T) {
suppressor := NewSuppressor()
suppressor.SetEnabled(true)
suppressor.SetThreshold(0.08)
voice := makeSineFrame(1000, 9000)
originalRMS := frameRMS(voice)
processed := append([]int16(nil), voice...)
suppressor.ProcessSamples(processed)
processedRMS := frameRMS(processed)
if processedRMS <= originalRMS*0.6 {
t.Fatalf("expected speech-like signal to be mostly preserved, got RMS %.2f from %.2f", processedRMS, originalRMS)
}
}
func TestHigherThresholdAppliesStrongerSuppression(t *testing.T) {
lowSuppressor := NewSuppressor()
lowSuppressor.SetEnabled(true)
lowSuppressor.SetThreshold(0.02)
highSuppressor := NewSuppressor()
highSuppressor.SetEnabled(true)
highSuppressor.SetThreshold(0.20)
noiseFrame := makeSineFrame(500, 700)
lowRMS := runFrameWarmup(lowSuppressor, noiseFrame, 8)
highRMS := runFrameWarmup(highSuppressor, noiseFrame, 8)
if highRMS >= lowRMS*0.8 {
t.Fatalf("expected stronger suppression at higher threshold, got low %.2f high %.2f", lowRMS, highRMS)
}
}
func runFrameWarmup(suppressor *Suppressor, frame []int16, repeats int) float64 {
var processed []int16
for i := 0; i < repeats; i++ {
processed = append([]int16(nil), frame...)
suppressor.ProcessSamples(processed)
}
return frameRMS(processed)
}
func makeSineFrame(frequency float64, amplitude float64) []int16 {
const sampleRate = 48000.0
const frameSize = 480
frame := make([]int16, frameSize)
for i := 0; i < frameSize; i++ {
value := math.Sin((2.0 * math.Pi * frequency * float64(i)) / sampleRate)
frame[i] = int16(value * amplitude)
}
return frame
}
func frameRMS(samples []int16) float64 {
if len(samples) == 0 {
return 0.0
}
var sumSquares float64
for _, sample := range samples {
normalized := float64(sample) / 32768.0
sumSquares += normalized * normalized
}
return math.Sqrt(sumSquares / float64(len(samples)))
}