• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

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

从言语的三分之一倍频程长期平均谱的形状来量化发声努力度。

Quantifying vocal effort from the shape of the one-third octave long-term-average spectrum of speech.

机构信息

Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur, Centre National de la Recherche Scientifique, Université Paris-Saclay, bat 507, Rue du Belvédère, F-91405 Orsay Cedex,

出版信息

J Acoust Soc Am. 2019 Oct;146(4):EL369. doi: 10.1121/1.5129677.

DOI:10.1121/1.5129677
PMID:31671952
Abstract

Vocal effort is a major source of variability in speech processing. The present study examines its spectral effects from calibrated data recorded in 1977. The 97 talkers were instructed to vary their vocal effort in five degrees. Each sequence was represented by its sound level and its 1/3 octave long-term-average spectrum. After normalization to a common arbitrary level, comparing each spectrum to the others demonstrated that the original sound level could be recovered within a 5 dB error margin. A principal component analysis brought out several spectral features involved in the quantitative relationship between spectral shape and sound level.

摘要

发声努力是言语处理中变异性的主要来源。本研究从 1977 年记录的校准数据中检查了它的光谱效应。97 位说话者被要求在五个等级上改变他们的发声努力。每个序列都由其声级和 1/3 倍频程长期平均频谱表示。在归一化为一个共同的任意水平后,将每个频谱与其他频谱进行比较,结果表明,原始声级可以在 5dB 的误差范围内恢复。主成分分析揭示了几个与频谱形状和声级之间定量关系有关的光谱特征。

相似文献

1
Quantifying vocal effort from the shape of the one-third octave long-term-average spectrum of speech.从言语的三分之一倍频程长期平均谱的形状来量化发声努力度。
J Acoust Soc Am. 2019 Oct;146(4):EL369. doi: 10.1121/1.5129677.
2
Speech intelligibility estimation using multi-resolution spectral features for speakers undergoing cancer treatment.使用多分辨率频谱特征对癌症治疗患者的语音清晰度进行估计。
J Acoust Soc Am. 2014 Oct;136(4):EL315-21. doi: 10.1121/1.4896410.
3
Estimating the spectral tilt of the glottal source from telephone speech using a deep neural network.使用深度神经网络从电话语音中估计声门源的频谱倾斜度。
J Acoust Soc Am. 2017 Apr;141(4):EL327. doi: 10.1121/1.4979162.
4
Analysis of high-frequency energy in long-term average spectra of singing, speech, and voiceless fricatives.分析歌唱、言语和清音摩擦的长时平均谱中的高频能量。
J Acoust Soc Am. 2012 Sep;132(3):1754-64. doi: 10.1121/1.4742724.
5
Spectral moment analysis of unilateral vocal fold paralysis.单侧声带麻痹的频谱矩分析。
J Voice. 2011 May;25(3):330-6. doi: 10.1016/j.jvoice.2010.03.006. Epub 2010 Sep 2.
6
Speech Adjustments for Room Acoustics and Their Effects on Vocal Effort.针对房间声学的语音调整及其对发声努力的影响。
J Voice. 2017 May;31(3):392.e1-392.e12. doi: 10.1016/j.jvoice.2016.10.001. Epub 2016 Oct 28.
7
Long-term average spectra of adult Iranian speakers' voice.成年伊朗语使用者语音的长期平均频谱。
J Voice. 2014 May;28(3):305-10. doi: 10.1016/j.jvoice.2013.09.002. Epub 2013 Nov 13.
8
Individual Monitoring of Vocal Effort With Relative Fundamental Frequency: Relationships With Aerodynamics and Listener Perception.基于相对基频的发声努力个体监测:与空气动力学及听众感知的关系
J Speech Lang Hear Res. 2015 Jun;58(3):566-75. doi: 10.1044/2015_JSLHR-S-14-0194.
9
Recovery From Heavy Vocal Loading in Women With Different Degrees of Functional Voice Problems.不同程度功能性嗓音问题女性从重度嗓音负荷中恢复的情况。
J Voice. 2017 Sep;31(5):645.e1-645.e14. doi: 10.1016/j.jvoice.2016.12.012. Epub 2017 May 29.
10
Effect of vocal effort on spectral properties of vowels.发声努力对元音频谱特性的影响。
J Acoust Soc Am. 1999 Jul;106(1):411-22. doi: 10.1121/1.428140.

引用本文的文献

1
Co-Occurrence of Hypernasality and Voice Impairment in Amyotrophic Lateral Sclerosis: Acoustic Quantification.肌萎缩侧索硬化症中鼻音亢进和语音障碍的共存:声学定量。
J Speech Lang Hear Res. 2021 Dec 13;64(12):4772-4783. doi: 10.1044/2021_JSLHR-21-00123. Epub 2021 Oct 29.