VoxaTrace/com.musicmuni.voxatrace.calibra.model/PitchDetectorConfig

PitchDetectorConfig

data class PitchDetectorConfig(val algorithm: PitchAlgorithm = PitchAlgorithm.YIN, val bufferSize: Int = 2048, val hopSize: Int = 160, val tolerance: Float = 0.15f, val minFreq: Float = 80.0f, val maxFreq: Float = 1000.0f, val amplitudeGateDb: Float = -40f, val confidenceThreshold: Float = 0.75f, val enableSmoothing: Boolean = false, val enableOctaveCorrection: Boolean = false, val smoothingWindowSize: Int = 5, val octaveThresholdCents: Float = 150.0f, val swiftF0BatchSize: Int = 2560)

Configuration for CalibraPitch detector.

Unified configuration for pitch detection including algorithm selection, detection parameters, and post-processing options.

Usage

// Tier 1: Use presets
val detector = CalibraPitch.createDetector(PitchDetectorConfig.BALANCED)

// Tier 2: Use Builder for discoverability
val config = PitchDetectorConfig.Builder()
    .algorithm(PitchAlgorithm.SWIFT_F0)
    .voiceType(VoiceType.carnaticMale)
    .quietHandling(QuietHandling.SENSITIVE)
    .enableProcessing()
    .build()

// Tier 3: Use .copy() for raw parameter access
val config = PitchDetectorConfig.PRECISE.copy(tolerance = 0.08f)

Constructors

PitchDetectorConfig

constructor(algorithm: PitchAlgorithm = PitchAlgorithm.YIN, bufferSize: Int = 2048, hopSize: Int = 160, tolerance: Float = 0.15f, minFreq: Float = 80.0f, maxFreq: Float = 1000.0f, amplitudeGateDb: Float = -40f, confidenceThreshold: Float = 0.75f, enableSmoothing: Boolean = false, enableOctaveCorrection: Boolean = false, smoothingWindowSize: Int = 5, octaveThresholdCents: Float = 150.0f, swiftF0BatchSize: Int = 2560)