FluctuationStrength

class ansys.sound.core.psychoacoustics.FluctuationStrength(signal=None)

Computes the fluctuation strength for a stationary sound.

This class computes the fluctuation strength of a signal according to Sontacchi’s master thesis work.

Reference: “Entwicklung eines Modulkonzeptes fur die psychoakustische Gerauschanalyse under MATLAB”. Master thesis, Technischen Universitat Graz, pp. 1-112 (1998).

See also

Roughness

Examples

Compute the fluctuation strength of a signal, and display the specific fluctuation strength.

>>> from ansys.sound.core.psychoacoustics import FluctuationStrength
>>> fluctuation_strength = FluctuationStrength(signal=my_signal)
>>> fluctuation_strength.process()
>>> fluctuation_strength_value = fluctuation_strength.get_fluctuation_strength()
>>> fluctuation_strength.plot()

See also

Calculate psychoacoustic indicators

Example demonstrating how to compute various psychoacoustic indicators.

Class instantiation takes the following parameters.

Parameters:

signalField, default: None

Signal in Pa on which to compute fluctuation strength.

Methods

FluctuationStrength.get_bark_band_frequencies()	Get Bark band frequencies.
FluctuationStrength.get_bark_band_indexes()	Get the Bark band indexes.
FluctuationStrength.get_fluctuation_strength()	Get fluctuation strength in vacil.
FluctuationStrength.get_output()	Get fluctuation strength and specific fluctuation strength.
FluctuationStrength.get_output_as_nparray()	Get fluctuation strength data in a tuple of NumPy arrays.
FluctuationStrength.get_specific_fluctuation_strength()	Get the specific fluctuation strength.
FluctuationStrength.plot()	Plot the specific fluctuation strength.
FluctuationStrength.process()	Compute the fluctuation strength.

Attributes

FluctuationStrength.signal

Input signal in Pa.