RoughnessFFT: Calculation of the Roughness of Acoustical Musical Signals

In m-vidal/pv01: An open source auditory toolbox for perception-based music analysis.

Description

Based on Leman (2000), this function calculates three outputs:

• the total energy

• the energy in all channels

• the energy spectrum of the neuronal synchronization.

Usage

RoughnessFFT(inObjANI, ...)

Arguments

inObjANI	an object of class ANI which must contain an auditory nerve image, its sample frequency and the filterbank frequencies used by the auditory model.
inANIFreq	sample frequency of the input signal (in samples per second).
inANIFilterFreqs	filterbank frequencies used by the auditory model.
inFrameWidth	the width of the window for analysing the signal (in s) if empty or not specified, 0.2 s is used by default.
inFrameStepSize	the stepsize or time interval between two inFrameWidthInSampless (in s).

Details

For now, the roughness values are dependend on the used frame width. So, to make usefull comparisons, only results obtained using the same frame width should be compared (this should be fixed in the future...)

Value

outFFTMatrix1	visualisation of energy over channels
outFFTMatrix2	visualisation of energy spectrum for synchronization (synchronisation index SI)
outRoughness	roughness over signal.
outSampleFreq	sampling rate of outRoughness (in Hz).
PlotRoughness

Author(s)

Marc Vidal (R version). Based on the original code from Marc Leman and Koen Tanghe.

References

Leman, M. (2000). Visualization and calculation of the roughness of acoustical musical signals using the synchronization index model (SIM). In: Proceedings of the COST G-6 Conference on Digital Audio Effects (DAFX-00), Verona, Italy.

Examples

probe <- ShepardTone(293.66, 1, indBLevel = -20)
s <- c(SchumannKurioseGeschichte, numeric(2205), probe)
ANIs <- CalcANI(s, 22050)
Rs <- RoughnessFFT(ANIs)

m-vidal/pv01 documentation built on Dec. 2, 2020, 1:24 a.m.