     }
 
     func normalize(_ samples: [Float]) -> [Float] {
-        return samples.map { $0 / silenceDbThreshold }
+        return samples.map { $0 / noiseFloorDecibelCutoff }
     }
 
     // swiftlint:disable force_cast

// MARK: - Private

fileprivate extension WaveformAnalyzer {
    private var silenceDbThreshold: Float { return -50.0 } // everything below -50 dB will be clipped
    
    func waveformSamples(
            count requiredNumberOfSamples: Int,
            qos: DispatchQoS.QoSClass,

        self.assetReader = assetReader
        self.audioAssetTrack = assetTrack
    }

    /// Calculates the amplitude envelope of the initialized audio asset URL, downsampled to the required `count` amount of samples.
    /// Calls the completionHandler on a background thread.
    /// - Parameter count: amount of samples to be calculated. Downsamples.
    /// - Parameter qos: QoS of the DispatchQueue the calculations are performed (and returned) on.
    /// - Parameter completionHandler: called from a background thread. Returns the sampled result or nil in edge-error cases.
    public func samples(count: Int, qos: DispatchQoS.QoSClass = .userInitiated, completionHandler: @escaping (_ amplitudes: [Float]?) -> ()) {
        waveformSamples(count: count, qos: qos, fftBands: nil) { analysis in
            completionHandler(analysis?.amplitudes)
