Spectral weighting for sentence recognition in steady-state and amplitude-modulated noise

Author:

Shen Yi1ORCID,Langley Lauren1

Affiliation:

1. Department of Speech and Hearing Sciences, University of Washington , 1417 Northeast 42nd Street, Seattle, Washington 98105-6246, USA shenyi@uw.edu , langleyl@uw.edu

Abstract

Spectral weights in octave-frequency bands from 0.25 to 4 kHz were estimated for speech-in-noise recognition using two sentence materials (i.e., the IEEE and AzBio sentences). The masking noise was either unmodulated or sinusoidally amplitude-modulated at 8 Hz. The estimated spectral weights did not vary significantly across two test sessions and were similar for the two sentence materials. Amplitude-modulating the masker increased the weight at 2 kHz and decreased the weight at 0.25 kHz, which may support an upward shift in spectral weights for temporally fluctuating maskers.

Funder

National Institute on Deafness and Other Communication Disorders

Publisher

Acoustical Society of America (ASA)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

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