Suppr超能文献

嗓音情绪识别表现可预测成年人工耳蜗使用者的生活质量。

Vocal emotion recognition performance predicts the quality of life in adult cochlear implant users.

机构信息

College of Health Solutions, Arizona State University, 975 South Myrtle Avenue, P.O. Box 870102, Tempe, Arizona 85287, USA

出版信息

J Acoust Soc Am. 2018 Nov;144(5):EL429. doi: 10.1121/1.5079575.

Abstract

Clinical tests of cochlear implant (CI) outcomes in sentence recognition cannot fully reflect CI users' self-reported quality of life (QoL). Here, vocal emotion recognition scores, speech reception thresholds (SRTs), and demographic factors were tested as predictors of QoL scores assessed with the Nijmegen Cochlear Implant Questionnaire in postlingually deafened adult CI users. After correction for multiple comparisons, vocal emotion recognition scores were significantly correlated with QoL scores in all subdomains (social interaction, self-esteem, etc.), while SRTs and duration of CI use were not. Vocal emotion recognition may thus be used in clinic to accurately and broadly predict QoL with CIs.

摘要

临床测试耳蜗植入(CI)在句子识别方面的结果并不能完全反映 CI 用户的自我报告生活质量(QoL)。在这里,嗓音情感识别得分、言语接受阈(SRT)和人口统计学因素被测试作为预测在后天聋的成年 CI 用户中使用尼梅根人工耳蜗问卷评估的生活质量得分的指标。在进行多次比较校正后,嗓音情感识别得分与所有子领域(社交互动、自尊等)的生活质量得分显著相关,而 SRT 和 CI 使用时间长短则没有相关性。因此,嗓音情感识别可用于临床,以准确和广泛地预测 CI 的生活质量。

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