Roughness#

class ansys.sound.core.psychoacoustics.Roughness(signal=None)#

Compute Daniel & Weber roughness.

Computes the roughness, specific roughness, and roughness over time of a sound according to the model described in Daniel and Weber’s reference paper.

References

Daniel and Weber, “Psychoacoustical roughness: implementation of an optimized model.” Acta Acustica united with Acustica, 83, pp. 113-123 (1997).

Examples

Compute the roughness of a signal, and display the specific roughness and roughness over time.

>>> from ansys.sound.core.psychoacoustics import Roughness
>>> roughness = Roughness(signal=my_signal)
>>> roughness.process()
>>> roughness_value = roughness.get_roughness()
>>> roughness.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 roughness.

Methods

`Roughness.get_bark_band_frequencies`()	Get Bark band frequencies.
`Roughness.get_bark_band_indexes`()	Get Bark band indexes.
`Roughness.get_output`()	Get roughness data.
`Roughness.get_output_as_nparray`()	Get roughness data in a tuple of NumPy arrays.
`Roughness.get_roughness`()	Get the overall roughness in asper.
`Roughness.get_roughness_over_time`()	Get the roughness over time in asper.
`Roughness.get_specific_roughness`()	Get the specific roughness in asper/Bark.
`Roughness.get_time_scale`()	Get the time scale.
`Roughness.plot`()	Plot the specific roughness and the roughness over time.
`Roughness.process`()	Compute the roughness.

Attributes

Roughness.signal

Input signal in Pa.