Similar to the Auditory Classification Images Project, the Modulation revcorr project aims at applying the revcorr paradigm to an auditory task. Here, the focus will be on basic psaychoacoustic modulation-in-noise-detection experiments. Targets include amplitude-modulated signals, frequency-modulated signals, upward or downward ripples. Two types of noise are considered: « dimensional » noise (random vector in the target modulation domain) or white noise. In the latter case, the masking effect arises from intrinsic random envelope fluctuations in the cochlear bands. The data collected on human participants is compared to those obtained by modulation detection models.
Selected publications and presentations:
Ponsot, L., Varnet, L. (2020). Unvealing internal representations of temporal modulations with the revcorr approach. ARCHES 2020 (presentation)
Varnet, L., Lorenzi, C. (2021). Probing AM detection in noise with reverse correlation. ARO 2021 (abstract)
Mechanisms of spectrotemporal modulation detection for normal- and hearing-impaired listeners.