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e84cb67500
| Author | SHA1 | Date | |
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e84cb67500 | ||
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3db526f42b |
@@ -44,7 +44,7 @@ Barnard includes real-time noise suppression for microphone input to filter out
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### Features
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- **Real-time processing**: Noise suppression is applied during audio capture with minimal latency
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- **Configurable threshold**: Adjustable noise gate threshold (default: 0.02)
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- **Configurable amount**: Adjustable suppression amount via threshold value (default: `0.08`)
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- **Persistent settings**: Noise suppression preferences are saved in your configuration file
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- **Multiple control methods**: Toggle via hotkey, command line flag, or FIFO commands
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@@ -57,10 +57,11 @@ Barnard includes real-time noise suppression for microphone input to filter out
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### Configuration Example
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```toml
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noisesuppressionenabled = true
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noisesuppressionthreshold = 0.02
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noisesuppressionthreshold = 0.08
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```
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The noise suppression algorithm uses a combination of high-pass filtering and noise gating to reduce unwanted background sounds while preserving voice quality.
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`noisesuppressionthreshold` accepts values from `0.0` to `1.0`, where higher values apply stronger suppression.
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The noise suppression algorithm uses adaptive noise-floor tracking, transient suppression, and smoothed gain reduction to reduce background noise while preserving voice quality.
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## FIFO Control
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@@ -128,7 +128,7 @@ func (c *Config) LoadConfig() {
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jc.NoiseSuppressionEnabled = &enabled
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}
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if c.config.NoiseSuppressionThreshold == nil {
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threshold := float32(0.02)
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threshold := float32(0.08)
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jc.NoiseSuppressionThreshold = &threshold
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}
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if c.config.VoiceEffect == nil {
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@@ -249,12 +249,25 @@ func (c *Config) SetNoiseSuppressionEnabled(enabled bool) {
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func (c *Config) GetNoiseSuppressionThreshold() float32 {
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if c.config.NoiseSuppressionThreshold == nil {
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return 0.02
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return 0.08
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}
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return *c.config.NoiseSuppressionThreshold
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threshold := *c.config.NoiseSuppressionThreshold
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if threshold < 0.0 {
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return 0.0
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}
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if threshold > 1.0 {
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return 1.0
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}
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return threshold
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}
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func (c *Config) SetNoiseSuppressionThreshold(threshold float32) {
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if threshold < 0.0 {
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threshold = 0.0
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}
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if threshold > 1.0 {
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threshold = 1.0
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}
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c.config.NoiseSuppressionThreshold = &threshold
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c.SaveConfig()
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}
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@@ -2,6 +2,7 @@ package noise
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import (
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"math"
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"sync"
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)
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// Ensure Suppressor implements the NoiseProcessor interface
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@@ -12,129 +13,200 @@ var _ interface {
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// Suppressor handles noise suppression for audio samples
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type Suppressor struct {
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enabled bool
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threshold float32
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gainFactor float32
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// Simple high-pass filter state for DC removal
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mu sync.Mutex
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enabled bool
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threshold float32
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// High-pass filter state for low-frequency rumble/DC removal.
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prevInput float32
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prevOutput float32
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alpha float32
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// Click detection state
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clickThreshold float32
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clickDecay float32
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recentClickEnergy float32
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hpAlpha float32
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// Adaptive suppression state.
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envelope float32
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noiseFloor float32
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suppressionGain float32
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clickEnergy float32
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// Tunables.
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envelopeAttack float32
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envelopeRelease float32
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noiseAttack float32
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noiseRelease float32
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gainAttack float32
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gainRelease float32
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speechRatio float32
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clickDecay float32
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minNoiseFloor float32
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}
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// NewSuppressor creates a new noise suppressor
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func NewSuppressor() *Suppressor {
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return &Suppressor{
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enabled: false,
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threshold: 0.01, // Reduced noise threshold level for less aggressive filtering
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gainFactor: 0.9, // Less aggressive gain reduction for noise
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alpha: 0.98, // More stable high-pass filter coefficient
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clickThreshold: 0.15, // Threshold for detecting keyboard clicks
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clickDecay: 0.95, // How quickly click energy decays
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recentClickEnergy: 0.0, // Tracks recent click activity
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s := &Suppressor{
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enabled: false,
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threshold: 0.08,
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hpAlpha: 0.995,
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envelopeAttack: 0.18,
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envelopeRelease: 0.02,
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noiseAttack: 0.08,
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noiseRelease: 0.002,
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gainAttack: 0.35,
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gainRelease: 0.02,
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speechRatio: 4.0,
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clickDecay: 0.93,
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minNoiseFloor: 0.0008,
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suppressionGain: 1.0,
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}
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s.resetStateLocked()
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return s
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}
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// SetEnabled enables or disables noise suppression
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func (s *Suppressor) SetEnabled(enabled bool) {
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s.mu.Lock()
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defer s.mu.Unlock()
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if s.enabled == enabled {
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return
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}
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s.enabled = enabled
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s.resetStateLocked()
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}
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// IsEnabled returns whether noise suppression is enabled
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func (s *Suppressor) IsEnabled() bool {
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s.mu.Lock()
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defer s.mu.Unlock()
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return s.enabled
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}
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// SetThreshold sets the noise threshold (0.0 to 1.0)
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func (s *Suppressor) SetThreshold(threshold float32) {
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if threshold >= 0.0 && threshold <= 1.0 {
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s.threshold = threshold
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}
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s.mu.Lock()
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defer s.mu.Unlock()
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s.threshold = clampFloat32(threshold, 0.0, 1.0)
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}
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// GetThreshold returns the current noise threshold
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func (s *Suppressor) GetThreshold() float32 {
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s.mu.Lock()
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defer s.mu.Unlock()
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return s.threshold
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}
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// ProcessSamples applies noise suppression to audio samples
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func (s *Suppressor) ProcessSamples(samples []int16) {
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s.mu.Lock()
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defer s.mu.Unlock()
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if !s.enabled || len(samples) == 0 {
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return
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}
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// Calculate frame energy for click detection
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var frameEnergy float32 = 0.0
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for _, sample := range samples {
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floatSample := float32(sample) / 32767.0
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frameEnergy += floatSample * floatSample
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}
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frameEnergy = float32(math.Sqrt(float64(frameEnergy / float32(len(samples)))))
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// Detect sudden energy spikes (likely keyboard clicks)
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energySpike := frameEnergy - s.recentClickEnergy
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isClick := energySpike > s.clickThreshold && frameEnergy > 0.05
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// Update recent click energy with decay
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s.recentClickEnergy = s.recentClickEnergy*s.clickDecay + frameEnergy*(1.0-s.clickDecay)
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// Improved noise suppression algorithm
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intensity := s.thresholdToIntensity()
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minGain := 1.0 - (0.92 * intensity)
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eps := float32(1e-6)
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for i, sample := range samples {
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// Convert to float for processing
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floatSample := float32(sample) / 32767.0
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// Apply high-pass filter for DC removal
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filtered := s.highPassFilter(floatSample)
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// Calculate signal strength (RMS-like)
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strength := float32(math.Abs(float64(filtered)))
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// Apply noise gate with smooth transition
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var gainReduction float32 = 1.0
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// If we detected a click, apply stronger suppression
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if isClick {
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gainReduction = s.gainFactor * 0.3 // Much stronger reduction for clicks
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} else if strength < s.threshold {
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// Normal noise gate for low-level sounds
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gainReduction = strength / s.threshold
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if gainReduction < s.gainFactor {
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gainReduction = s.gainFactor
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}
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}
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// Apply gain reduction
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processed := filtered * gainReduction
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// Convert back to int16 with proper clipping
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processedInt := processed * 32767.0
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if processedInt > 32767 {
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processedInt = 32767
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} else if processedInt < -32767 {
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processedInt = -32767
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}
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samples[i] = int16(processedInt)
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floatSample := float32(sample) / 32768.0
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filtered := s.highPassFilterLocked(floatSample)
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absSample := float32(math.Abs(float64(filtered)))
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s.updateEnvelopeLocked(absSample)
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s.updateNoiseFloorLocked()
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snr := s.envelope / (s.noiseFloor + eps)
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voicePresence := clampFloat32((snr-1.0)/(s.speechRatio-1.0), 0.0, 1.0)
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targetGain := minGain + ((1.0 - minGain) * voicePresence)
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targetGain = s.applyTransientSuppressionLocked(absSample, voicePresence, minGain, targetGain)
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s.applyGainSmoothingLocked(targetGain)
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processed := filtered * s.suppressionGain
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processed = clampFloat32(processed, -1.0, 1.0)
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samples[i] = int16(processed * 32767.0)
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}
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}
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// highPassFilter applies a simple high-pass filter to remove DC component
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func (s *Suppressor) highPassFilter(input float32) float32 {
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func (s *Suppressor) highPassFilterLocked(input float32) float32 {
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// Simple high-pass filter: y[n] = alpha * (y[n-1] + x[n] - x[n-1])
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output := s.alpha * (s.prevOutput + input - s.prevInput)
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output := s.hpAlpha * (s.prevOutput + input - s.prevInput)
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s.prevInput = input
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s.prevOutput = output
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return output
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}
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func (s *Suppressor) thresholdToIntensity() float32 {
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// Keep lower legacy threshold values meaningful while allowing up to very aggressive suppression.
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return 1.0 - float32(math.Exp(float64(-28.0*clampFloat32(s.threshold, 0.0, 1.0))))
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}
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func (s *Suppressor) updateEnvelopeLocked(absSample float32) {
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if absSample > s.envelope {
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s.envelope += s.envelopeAttack * (absSample - s.envelope)
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} else {
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s.envelope += s.envelopeRelease * (absSample - s.envelope)
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}
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if s.envelope < s.minNoiseFloor {
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s.envelope = s.minNoiseFloor
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}
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}
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func (s *Suppressor) updateNoiseFloorLocked() {
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coef := s.noiseRelease
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if s.envelope < s.noiseFloor*2.2 {
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coef = s.noiseAttack
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}
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s.noiseFloor += coef * (s.envelope - s.noiseFloor)
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if s.noiseFloor < s.minNoiseFloor {
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s.noiseFloor = s.minNoiseFloor
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}
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}
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func (s *Suppressor) applyTransientSuppressionLocked(absSample float32, voicePresence float32, minGain float32, targetGain float32) float32 {
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s.clickEnergy = (s.clickEnergy * s.clickDecay) + (absSample * (1.0 - s.clickDecay))
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transient := absSample - s.clickEnergy
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transientThreshold := 0.04 + (0.08 * (1.0 - voicePresence))
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if transient > transientThreshold && voicePresence < 0.65 {
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clickGain := minGain * 0.55
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if clickGain < targetGain {
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targetGain = clickGain
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}
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}
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return clampFloat32(targetGain, 0.02, 1.0)
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}
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func (s *Suppressor) applyGainSmoothingLocked(targetGain float32) {
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if targetGain < s.suppressionGain {
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s.suppressionGain += s.gainAttack * (targetGain - s.suppressionGain)
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} else {
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s.suppressionGain += s.gainRelease * (targetGain - s.suppressionGain)
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}
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s.suppressionGain = clampFloat32(s.suppressionGain, 0.02, 1.0)
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}
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func (s *Suppressor) resetStateLocked() {
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s.prevInput = 0.0
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s.prevOutput = 0.0
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s.envelope = s.minNoiseFloor
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s.noiseFloor = s.minNoiseFloor
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s.suppressionGain = 1.0
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s.clickEnergy = 0.0
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}
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func clampFloat32(value float32, min float32, max float32) float32 {
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if value < min {
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return min
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}
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if value > max {
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return max
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}
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return value
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}
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// ProcessSamplesAdvanced applies more sophisticated noise suppression
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// This is a placeholder for future RNNoise integration
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// Placeholder for future RNNoise integration.
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func (s *Suppressor) ProcessSamplesAdvanced(samples []int16) {
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// TODO: Integrate RNNoise or other advanced algorithms
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s.ProcessSamples(samples)
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}
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}
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103
noise/suppression_test.go
Normal file
103
noise/suppression_test.go
Normal file
@@ -0,0 +1,103 @@
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package noise
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import (
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"math"
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"testing"
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)
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func TestSuppressorDisabledBypassesSamples(t *testing.T) {
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suppressor := NewSuppressor()
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samples := []int16{100, -200, 300, -400, 500}
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original := append([]int16(nil), samples...)
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suppressor.ProcessSamples(samples)
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for i := range samples {
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if samples[i] != original[i] {
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t.Fatalf("expected sample %d to remain unchanged, got %d want %d", i, samples[i], original[i])
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}
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}
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}
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func TestSuppressorAttenuatesLowLevelNoise(t *testing.T) {
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suppressor := NewSuppressor()
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suppressor.SetEnabled(true)
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suppressor.SetThreshold(0.08)
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input := makeSineFrame(600, 700)
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originalRMS := frameRMS(input)
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processed := append([]int16(nil), input...)
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suppressor.ProcessSamples(processed)
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processedRMS := frameRMS(processed)
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if processedRMS >= originalRMS*0.8 {
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t.Fatalf("expected low-level noise attenuation, got RMS %.2f from %.2f", processedRMS, originalRMS)
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}
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}
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func TestSuppressorPreservesSpeechLikeSignal(t *testing.T) {
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suppressor := NewSuppressor()
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suppressor.SetEnabled(true)
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suppressor.SetThreshold(0.08)
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voice := makeSineFrame(1000, 9000)
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originalRMS := frameRMS(voice)
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processed := append([]int16(nil), voice...)
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suppressor.ProcessSamples(processed)
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processedRMS := frameRMS(processed)
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if processedRMS <= originalRMS*0.6 {
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t.Fatalf("expected speech-like signal to be mostly preserved, got RMS %.2f from %.2f", processedRMS, originalRMS)
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}
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}
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func TestHigherThresholdAppliesStrongerSuppression(t *testing.T) {
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lowSuppressor := NewSuppressor()
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lowSuppressor.SetEnabled(true)
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lowSuppressor.SetThreshold(0.02)
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highSuppressor := NewSuppressor()
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highSuppressor.SetEnabled(true)
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highSuppressor.SetThreshold(0.20)
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noiseFrame := makeSineFrame(500, 700)
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lowRMS := runFrameWarmup(lowSuppressor, noiseFrame, 8)
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highRMS := runFrameWarmup(highSuppressor, noiseFrame, 8)
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if highRMS >= lowRMS*0.8 {
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t.Fatalf("expected stronger suppression at higher threshold, got low %.2f high %.2f", lowRMS, highRMS)
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}
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}
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func runFrameWarmup(suppressor *Suppressor, frame []int16, repeats int) float64 {
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var processed []int16
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for i := 0; i < repeats; i++ {
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processed = append([]int16(nil), frame...)
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suppressor.ProcessSamples(processed)
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}
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return frameRMS(processed)
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}
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func makeSineFrame(frequency float64, amplitude float64) []int16 {
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const sampleRate = 48000.0
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const frameSize = 480
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frame := make([]int16, frameSize)
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for i := 0; i < frameSize; i++ {
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value := math.Sin((2.0 * math.Pi * frequency * float64(i)) / sampleRate)
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frame[i] = int16(value * amplitude)
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}
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return frame
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}
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func frameRMS(samples []int16) float64 {
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if len(samples) == 0 {
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return 0.0
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}
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var sumSquares float64
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for _, sample := range samples {
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normalized := float64(sample) / 32768.0
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sumSquares += normalized * normalized
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}
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return math.Sqrt(sumSquares / float64(len(samples)))
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}
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Reference in New Issue
Block a user