Suppr超能文献

自适应调频系统对使用助听器的聆听者在噪声环境中语音识别的益处。

Benefits of adaptive FM systems on speech recognition in noise for listeners who use hearing aids.

作者信息

Thibodeau Linda

机构信息

University of Texas at Dallas, Callier Center for Communication Disorders, USA.

出版信息

Am J Audiol. 2010 Jun;19(1):36-45. doi: 10.1044/1059-0889(2010/09-0014). Epub 2010 Mar 10.

Abstract

PURPOSE

To compare the benefits of adaptive FM and fixed FM systems through measurement of speech recognition in noise with adults and students in clinical and real-world settings.

METHOD

Five adults and 5 students with moderate-to-severe hearing loss completed objective and subjective speech recognition in noise measures with the 2 types of FM processing. Sentence recognition was evaluated in a classroom for 5 competing noise levels ranging from 54 to 80 dBA while the FM microphone was positioned 6 in. from the signal loudspeaker to receive input at 84 dB SPL. The subjective measures included 2 classroom activities and 6 auditory lessons in a noisy, public aquarium.

RESULTS

On the objective measures, adaptive FM processing resulted in significantly better speech recognition in noise than fixed FM processing for 68- and 73-dBA noise levels. On the subjective measures, all individuals preferred adaptive over fixed processing for half of the activities. Adaptive processing was also preferred by most (8-9) individuals for the remaining 4 activities.

CONCLUSION

The adaptive FM processing resulted in significant improvements at the higher noise levels and was preferred by the majority of participants in most of the conditions.

摘要

目的

通过在临床和现实环境中对成人和学生在噪声中的语音识别进行测量,比较自适应调频(FM)系统和固定FM系统的优势。

方法

五名患有中度至重度听力损失的成人和五名学生使用两种类型的FM处理方式完成了客观和主观的噪声中语音识别测量。在教室中,当FM麦克风距离信号扬声器6英寸以接收84 dB声压级的输入时,针对5种从54到80 dBA的竞争噪声水平评估句子识别。主观测量包括在嘈杂的公共水族馆中的2项课堂活动和6节听觉课程。

结果

在客观测量中,对于68 dB和73 dB的噪声水平,自适应FM处理在噪声中的语音识别明显优于固定FM处理。在主观测量中,一半的活动中所有个体都更喜欢自适应处理而非固定处理。在其余4项活动中,大多数(8 - 9)个体也更喜欢自适应处理。

结论

自适应FM处理在较高噪声水平下带来了显著改善,并且在大多数情况下被大多数参与者所偏爱。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验