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Spectral weighting for sentence recognition in steady-state and amplitude-modulated noise
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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Acoustical Society of America
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10155216/ https://www.ncbi.nlm.nih.gov/pubmed/37125871 http://dx.doi.org/10.1121/10.0017934 |
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author | Shen, Yi Langley, Lauren |
author_facet | Shen, Yi Langley, Lauren |
author_sort | Shen, Yi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10155216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Acoustical Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-101552162023-05-04 Spectral weighting for sentence recognition in steady-state and amplitude-modulated noise Shen, Yi Langley, Lauren JASA Express Lett Speech Communication 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. Acoustical Society of America 2023-05 2023-05-01 /pmc/articles/PMC10155216/ /pubmed/37125871 http://dx.doi.org/10.1121/10.0017934 Text en © 2023 Author(s). 2691-1191/2023/3(5)/055202/9 https://creativecommons.org/licenses/by/4.0/All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Speech Communication Shen, Yi Langley, Lauren Spectral weighting for sentence recognition in steady-state and amplitude-modulated noise |
title | Spectral weighting for sentence recognition in steady-state and amplitude-modulated noise |
title_full | Spectral weighting for sentence recognition in steady-state and amplitude-modulated noise |
title_fullStr | Spectral weighting for sentence recognition in steady-state and amplitude-modulated noise |
title_full_unstemmed | Spectral weighting for sentence recognition in steady-state and amplitude-modulated noise |
title_short | Spectral weighting for sentence recognition in steady-state and amplitude-modulated noise |
title_sort | spectral weighting for sentence recognition in steady-state and amplitude-modulated noise |
topic | Speech Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10155216/ https://www.ncbi.nlm.nih.gov/pubmed/37125871 http://dx.doi.org/10.1121/10.0017934 |
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