Class: Vizcore::Analysis::AdaptiveNormalizer
- Inherits:
-
Object
- Object
- Vizcore::Analysis::AdaptiveNormalizer
- Defined in:
- lib/vizcore/analysis/adaptive_normalizer.rb
Overview
Scales audio features against a rolling amplitude peak for repeatable mappings.
Constant Summary collapse
- DEFAULT_WINDOW_SIZE =
128- DEFAULT_TARGET =
0.85- DEFAULT_FLOOR =
0.05
Instance Method Summary collapse
-
#call(amplitude:, bands:, fft:) ⇒ Hash
Normalized feature values plus the applied gain.
-
#initialize(window_size: DEFAULT_WINDOW_SIZE, target: DEFAULT_TARGET, floor: DEFAULT_FLOOR, per_band: false) ⇒ AdaptiveNormalizer
constructor
A new instance of AdaptiveNormalizer.
Constructor Details
#initialize(window_size: DEFAULT_WINDOW_SIZE, target: DEFAULT_TARGET, floor: DEFAULT_FLOOR, per_band: false) ⇒ AdaptiveNormalizer
Returns a new instance of AdaptiveNormalizer.
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# File 'lib/vizcore/analysis/adaptive_normalizer.rb', line 15 def initialize(window_size: DEFAULT_WINDOW_SIZE, target: DEFAULT_TARGET, floor: DEFAULT_FLOOR, per_band: false) @window_size = normalize_window_size(window_size) @target = normalize_unit(target, DEFAULT_TARGET) @floor = normalize_unit(floor, DEFAULT_FLOOR) @per_band = !!per_band @history = [] @band_history = Hash.new { |history, key| history[key] = [] } end |
Instance Method Details
#call(amplitude:, bands:, fft:) ⇒ Hash
Returns normalized feature values plus the applied gain.
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# File 'lib/vizcore/analysis/adaptive_normalizer.rb', line 28 def call(amplitude:, bands:, fft:) current_amplitude = normalize_unit(amplitude, 0.0) @history << current_amplitude @history.shift while @history.length > @window_size gain = @target / [@history.max.to_f, @floor].max { amplitude: scale_value(current_amplitude, gain), bands: normalize_bands(bands, gain), fft: scale_array(fft, gain), gain: gain } end |