Shen Y, Langley L. Spectral weighting for sentence recognition in steady-state and amplitude-modulated noise.
JASA EXPRESS LETTERS 2023;
3:2887651. [PMID:
37125871 PMCID:
PMC10155216 DOI:
10.1121/10.0017934]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2022] [Accepted: 04/06/2023] [Indexed: 05/03/2023]
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.
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