THE AUDITORY MODELING TOOLBOX
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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. J. Acoust. Soc. Am., 148(5):3246--3254, 2020. [ http ]
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