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远程麦克风支持语言障碍儿童在噪声和混响环境中的语音识别。

Remote Microphones Support Speech Recognition in Noise and Reverberation for Children With a Language Disorder.

作者信息

Gordon Katherine R, Lewis Dawna, Lowry Stephanie, Smith Maggie, Stecker G Christopher, McCreery Ryan W

机构信息

Center for Childhood Deafness, Language, and Learning, Boys Town National Research Hospital, Omaha, NE.

Center for Hearing Research, Boys Town National Research Hospital, Omaha, NE.

出版信息

Lang Speech Hear Serv Sch. 2025 Jan 9;56(1):225-233. doi: 10.1044/2024_LSHSS-24-00018. Epub 2024 Dec 26.

Abstract

PURPOSE

Children with typical hearing and various language and cognitive challenges can struggle with processing speech in background noise. Thus, children with a language disorder (LD) are at risk for difficulty with speech recognition in poorer acoustic environments.

METHOD

The current study compared the effects of background speech-shaped noise (SSN) with and without reverberation on sentence recognition for children with LD ( = 9) and typical language development (TLD; = 9). We also investigated whether the use of a remote microphone (RM) improved speech recognition for children with LD.

RESULTS

Children with LD demonstrated poorer sentence recognition than peers with TLD in SSN. Both groups had poorer sentence recognition with SSN + reverberation than SSN alone. Notably, using an RM improved speech recognition for children with LD in SSN and SSN + reverberation.

CONCLUSION

We discuss educational implications and future research questions to identify how to optimally support speech recognition in noisy environments for children with LD.

SUPPLEMENTAL MATERIAL

https://doi.org/10.23641/asha.28037984.

摘要

目的

具有典型听力以及各种语言和认知挑战的儿童在处理背景噪声中的语音时可能会遇到困难。因此,患有语言障碍(LD)的儿童在较差的声学环境中存在语音识别困难的风险。

方法

本研究比较了有混响和无混响的背景言语成形噪声(SSN)对患有语言障碍(n = 9)和典型语言发展(TLD;n = 9)儿童句子识别的影响。我们还研究了使用远程麦克风(RM)是否能改善患有语言障碍儿童的语音识别。

结果

在SSN中,患有语言障碍的儿童比TLD的同龄人表现出更差的句子识别能力。两组在SSN + 混响条件下的句子识别都比单独的SSN条件差。值得注意的是,使用RM改善了患有语言障碍儿童在SSN和SSN + 混响条件下的语音识别。

结论

我们讨论了教育意义以及未来的研究问题,以确定如何为患有语言障碍的儿童在嘈杂环境中最佳地支持语音识别。

补充材料

https://doi.org/10.23641/asha.28037984

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abc3/12381825/a9d405b2df1c/LSHSS-56-225-g001.jpg

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