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在稳态噪声和调幅噪声中用于句子识别的频谱加权。

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

机构信息

Department of Speech and Hearing Sciences, University of Washington, 1417 Northeast 42nd Street, Seattle, Washington 98105-6246,

出版信息

JASA Express Lett. 2023 May 1;3(5). doi: 10.1121/10.0017934.

DOI:10.1121/10.0017934
PMID:37125871
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10155216/
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.

摘要

使用两种句子材料(即 IEEE 和 AzBio 句子),在 0.25 到 4 kHz 的倍频程频段中估计了语音噪声识别的谱权重。掩蔽噪声要么是非调制的,要么是以 8 Hz 的正弦幅度调制的。在两个测试会话中,估计的谱权重没有显著变化,并且对于两种句子材料是相似的。调制掩蔽器的幅度增加了 2 kHz 的权重,降低了 0.25 kHz 的权重,这可能支持了对时变掩蔽器的谱权重的向上移位。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6502/10155216/e69fd8c2506f/JELAAE-000003-055202_1-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6502/10155216/fc4d7730c096/JELAAE-000003-055202_1-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6502/10155216/86cdbd62e969/JELAAE-000003-055202_1-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6502/10155216/e69fd8c2506f/JELAAE-000003-055202_1-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6502/10155216/fc4d7730c096/JELAAE-000003-055202_1-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6502/10155216/86cdbd62e969/JELAAE-000003-055202_1-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6502/10155216/e69fd8c2506f/JELAAE-000003-055202_1-g003.jpg

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