PRUDHOMME2020
Compute the effective SNR taking into account harmonic cancellation

Usage:

[predicted_SNR] = prudhomme2020(target,targSpec,masker,meanf0,fs, jitter,fc_target)

Input parameters:

`target`	target
`targSpec`	target spectrum
`masker`	masker
`meanf0`	mean fundamental frequency [Hz]
`fs`	sampling frequency [Hz]
`jitter`	jitter
`fc_target`	center frequency of the target [Hz]

Output parameters:

wSNR

weighted Signal-to-Noise Ratio

Description:

PRUDHOMME2020 is a monaural model computing the effective SNR taking into account harmonic cancellation. It takes the target and interferer signals (sampled at fs) as input, along with the masker F0 and jitter info

References:

M. Lavandier, T. Vicente, and L. Prud'homme. A series of snr-based speech intelligibility models in the auditory modeling toolbox. Acta Acustica, 2022.

L. Prud'homme, M. Lavandier, and V. Best. A harmonic-cancellation-based model to predict speech intelligibility against a harmonic masker. The Journal of the Acoustical Society of America, 148(5):3246--3254, 2020. [ http ]