Accounting for masking of frequency modulation by amplitude modulation with the modulation filter-bank concept.

Andrew King,Christian Lorenzi,Léo Varnet

doi:10.1121/1.5094344

Abstract

Frequency modulation (FM) is assumed to be detected through amplitude modulation (AM) created by cochlear filtering for modulation rates above 10 Hz and carrier frequencies (fc) above 4 kHz. If this is the case, a model of modulation perception based on the concept of AM filters should predict masking effects between AM and FM. To test this, masking effects of sinusoidal AM on sinusoidal FM detection thresholds were assessed on normal-hearing listeners as a function of FM rate, fc, duration, AM rate, AM depth, and phase difference between FM and AM. The data were compared to predictions of a computational model implementing an AM filter-bank. Consistent with model predictions, AM masked FM with some AM-masking-AM features (broad tuning and effect of AM-masker depth). Similar masking was predicted and observed at fc = 0.5 and 5 kHz for a 2 Hz AM masker, inconsistent with the notion that additional (e.g., temporal fine-structure) cues drive slow-rate FM detection at low fc. However, masking was lower than predicted and, unlike model predictions, did not show beating or phase effects. Broadly, the modulation filter-bank concept successfully explained some AM-masking-FM effects, but could not give a complete account of both AM and FM detection.

Highlights

Many natural sounds such as communication calls or speech convey strong modulations in amplitude and frequency (e.g., Steeneken and Houtgast, 1980; Hsu et al, 2004; Sheft et al, 2012; Varnet et al, 2017)
The current study aimed to assess if amplitude modulation (AM)-masking-FM could fit into the concept of modulation filters, or whether a separate mechanism was needed to explain slow-rate FM at low carrier frequencies
We found that for normal-hearing listeners, the masking of FM by AM was broadly tuned, increased with stimulus duration and with masker depth

Summary

Introduction

Many natural sounds such as communication calls or speech convey strong modulations in amplitude and frequency (e.g., Steeneken and Houtgast, 1980; Hsu et al, 2004; Sheft et al, 2012; Varnet et al, 2017). As for speech, frequencymodulation (FM) cues correspond to relatively slow (

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