Suppr超能文献

语音清晰度最好由强度来预测,而非耳蜗标度熵。

Speech intelligibility is best predicted by intensity, not cochlea-scaled entropy.

作者信息

Oxenham Andrew J, Boucher Jeffrey E, Kreft Heather A

机构信息

Department of Psychology, University of Minnesota, Elliott Hall, 75 East River Parkway, Minneapolis, Minnesota 55455, USA

出版信息

J Acoust Soc Am. 2017 Sep;142(3):EL264. doi: 10.1121/1.5002149.

Abstract

Cochlea-scaled entropy (CSE) is a measure of spectro-temporal change that has been reported to predict the contribution of speech segments to overall intelligibility. This paper confirms that CSE is highly correlated with intensity, making it impossible to determine empirically whether it is CSE or simply intensity that determines speech importance. A more perceptually relevant version of CSE that uses dB-scaled differences, rather than differences in linear amplitude, failed to predict speech intelligibility. Overall, a parsimonious account of the available data is that the importance of speech segments to overall intelligibility is best predicted by their relative intensity, not by CSE.

摘要

耳蜗尺度熵(CSE)是一种用于衡量频谱-时间变化的指标,据报道它可以预测语音片段对整体可懂度的贡献。本文证实,CSE与强度高度相关,这使得无法通过实证确定是CSE还是仅仅强度决定了语音的重要性。一个使用分贝尺度差异而非线性幅度差异的、在感知上更相关的CSE版本,未能预测语音可懂度。总体而言,对现有数据的一种简洁解释是,语音片段对整体可懂度的重要性最好由其相对强度来预测,而非CSE。

相似文献

本文引用的文献

4
Development and validation of the AzBio sentence lists.发展和验证 AzBio 句子列表。
Ear Hear. 2012 Jan-Feb;33(1):112-7. doi: 10.1097/AUD.0b013e31822c2549.
9
A "rationalized" arcsine transform.一种“合理化”反正弦变换。
J Speech Hear Res. 1985 Sep;28(3):455-62. doi: 10.1044/jshr.2803.455.

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验