• 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

年龄相关的言语和嗓音变化:谱和倒谱测量。

Age-Related Changes in Speech and Voice: Spectral and Cepstral Measures.

机构信息

Department of Communication Disorders, Brigham Young University, Provo, UT.

Department of Statistics, Brigham Young University, Provo, UT.

出版信息

J Speech Lang Hear Res. 2020 Mar 23;63(3):647-660. doi: 10.1044/2019_JSLHR-19-00028. Epub 2020 Feb 25.

DOI:10.1044/2019_JSLHR-19-00028
PMID:32097060
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7229708/
Abstract

Purpose This study examined differences in selected acoustic measures of speech and voice according to age and sex and across families. Method Participants included 169 individuals, 79 men and 90 women, from 18 families, ranging in age from 17 to 87 years. Participants reported no history of articulation disorders, stroke or active neurologic disease, or severe-to-profound hearing loss. They read aloud two passages to facilitate examination of the following speech and voice acoustic parameters: fricative spectral moments (center of gravity, standard deviation, skewness, and kurtosis), the proportion of time spent speaking, mean speaking fundamental frequency, semitone standard deviation (STSD), and cepstral peak prominence smoothed. Results The results indicated a significant age effect for fricative spectral center of gravity, spectral skewness, and speaking STSD. There was a significant sex effect for spectral center of gravity, spectral kurtosis, and mean fundamental frequency. Familial relationship was significant for spectral skewness, STSD, and cepstral peak prominence smoothed. Conclusions These findings revealed that certain speech and voice features change with age and some change differently for men and women. Additionally, speakers from the same family units may demonstrate similar patterns for prosody, voicing, and articulatory behavior. The results also demonstrated normal differences in speech and voice variation across age, sex, and family unit. Understanding patterns and differences across these demographic variables in healthy speakers is important to distinguishing more confidently between normal and disordered speech and voice patterns clinically.

摘要

目的 本研究旨在根据年龄、性别和家庭比较研究语音和嗓音的某些声学特征的差异。

方法 参与者包括 18 个家庭的 169 名个体,79 名男性和 90 名女性,年龄从 17 岁到 87 岁。参与者自述无构音障碍、中风或活跃的神经系统疾病,或严重到深度听力损失史。他们朗读两段短文,以便检查以下语音和嗓音声学参数:摩擦频谱矩(重心、标准差、偏度和峰度)、说话时间比例、平均说话基频、半音标准差(STSD)和声道谱峰值平滑度。

结果 结果表明,摩擦频谱重心、频谱偏度和说话 STSD 存在显著的年龄效应。频谱重心、频谱峰度和平均基频存在显著的性别效应。频谱偏度、STSD 和声道谱峰值平滑度存在家族关系的显著效应。

结论 这些发现表明,某些语音和嗓音特征随年龄而变化,而一些特征则因男性和女性而异。此外,来自同一家庭单位的说话者在韵律、发声和发音行为方面可能表现出相似的模式。结果还表明,在健康说话者中,语音和嗓音在年龄、性别和家庭单位方面存在正常差异。了解健康说话者在这些人口统计学变量中的模式和差异对于临床区分正常和异常的语音和嗓音模式非常重要。

相似文献

1
Age-Related Changes in Speech and Voice: Spectral and Cepstral Measures.年龄相关的言语和嗓音变化:谱和倒谱测量。
J Speech Lang Hear Res. 2020 Mar 23;63(3):647-660. doi: 10.1044/2019_JSLHR-19-00028. Epub 2020 Feb 25.
2
The effect of speaking context on spectral- and cepstral-based acoustic features of normal voice.说话语境对正常嗓音基于频谱和倒谱的声学特征的影响。
Clin Linguist Phon. 2016;30(1):1-11. doi: 10.3109/02699206.2015.1087049. Epub 2015 Nov 23.
3
Spectral- and cepstral-based measures during continuous speech: capacity to distinguish dysphonia and consistency within a speaker.基于谱和倒谱的连续语音测量:区分发声障碍和说话人内一致性的能力。
J Voice. 2011 Sep;25(5):e223-32. doi: 10.1016/j.jvoice.2010.06.007. Epub 2010 Oct 25.
4
Exploring the relationship between spectral and cepstral measures of voice and the Voice Handicap Index (VHI).探索嗓音的频谱和倒谱测量与嗓音障碍指数(VHI)之间的关系。
J Voice. 2014 Jul;28(4):430-9. doi: 10.1016/j.jvoice.2013.12.008. Epub 2014 Mar 31.
5
Fundamental Frequency and Intensity Effects on Cepstral Measures in Vowels from Connected Speech of Speakers with Voice Disorders.基频和强度对嗓音障碍者连续言语中元音的倒谱测量的影响。
J Voice. 2021 May;35(3):422-431. doi: 10.1016/j.jvoice.2019.11.014. Epub 2019 Dec 26.
6
Are Acoustic Markers of Voice and Speech Signals Affected by Nose-and-Mouth-Covering Respiratory Protective Masks?口鼻覆盖式呼吸防护口罩会影响语音和言语信号的声学标记吗?
J Voice. 2023 May;37(3):468.e1-468.e12. doi: 10.1016/j.jvoice.2021.01.013. Epub 2021 Feb 16.
7
The Relationship Between Pitch Discrimination and Acoustic Voice Measures in a Cohort of Female Speakers.女性发音人群中,音高辨别能力与声学语音测量值之间的关系。
J Voice. 2024 Sep;38(5):1023-1034. doi: 10.1016/j.jvoice.2022.02.015. Epub 2022 Mar 20.
8
Predictive value and discriminant capacity of cepstral- and spectral-based measures during continuous speech.基于倒谱和谱的语音连续语音分析的预测价值和判别能力。
J Voice. 2013 Jul;27(4):393-400. doi: 10.1016/j.jvoice.2013.02.005. Epub 2013 May 16.
9
A Cross-sectional Study of Perceptual and Acoustic Voice Characteristics in Healthy Aging.健康老龄化中的感知和声学嗓音特征的横断面研究。
J Voice. 2023 Nov;37(6):969.e23-969.e41. doi: 10.1016/j.jvoice.2021.06.007. Epub 2021 Jul 14.
10
Cepstral analysis of hypokinetic and ataxic voices: correlations with perceptual and other acoustic measures.运动减退性和共济失调性嗓音的谐波倒谱分析:与感知及其他声学指标的相关性
J Voice. 2014 Nov;28(6):673-80. doi: 10.1016/j.jvoice.2014.01.013. Epub 2014 May 16.

引用本文的文献

1
Normative Thresholds for Acoustic Estimates of Relative Fundamental Frequency.相对基频声学估计的规范阈值。
J Voice. 2025 Jul 23. doi: 10.1016/j.jvoice.2025.07.006.
2
A novel fusion architecture for detecting Parkinson's Disease using semi-supervised speech embeddings.一种使用半监督语音嵌入检测帕金森病的新型融合架构。
NPJ Parkinsons Dis. 2025 Jun 20;11(1):176. doi: 10.1038/s41531-025-00956-7.
3
Sex differences in PTSD speech biomarkers assessed by virtual agent-induced conversations.通过虚拟代理诱导对话评估创伤后应激障碍言语生物标志物中的性别差异。
Front Psychol. 2025 Apr 28;16:1509206. doi: 10.3389/fpsyg.2025.1509206. eCollection 2025.
4
Normative aging results in degradation of gene networks in a zebra finch basal ganglia nucleus dedicated to vocal behavior.正常衰老会导致斑胸草雀中一个专门负责发声行为的基底神经节核团中的基因网络退化。
Neurobiol Aging. 2025 May;149:19-33. doi: 10.1016/j.neurobiolaging.2025.02.002. Epub 2025 Feb 12.
5
The phonation test can distinguish the patient with Parkinson's disease via Bayes inference.发声测试可以通过贝叶斯推理来区分帕金森病患者。
Cogn Neurodyn. 2025 Dec;19(1):18. doi: 10.1007/s11571-024-10194-x. Epub 2025 Jan 9.
6
Behind the Headset: Predictive Accuracy of Patient-Reported Outcome Measures for Voice Symptoms in Call Centers.耳机背后:呼叫中心患者报告的语音症状结局指标的预测准确性
Rev Investig Innov Cienc Salud. 2024;6(1):44-72. doi: 10.46634/riics.240.
7
How ready is speech-to-text for psychological language research? Evaluating the validity of AI-generated English transcripts for analyzing free-spoken responses in younger and older adults.语音转文本技术在心理学语言研究中应用的准备情况如何?评估人工智能生成的英语抄本在分析年轻和老年被试自由口语反应时的有效性。
Behav Res Methods. 2024 Oct;56(7):7621-7631. doi: 10.3758/s13428-024-02440-1. Epub 2024 May 21.
8
Normative Values of Cepstral Peak Prominence Measures in Typical Speakers by Sex, Speech Stimuli, and Software Type Across the Life Span.典型发音者在整个生命周期中按性别、语音刺激和软件类型划分的声谱峰突出测量的规范值。
Am J Speech Lang Pathol. 2023 Jul 10;32(4):1565-1577. doi: 10.1044/2023_AJSLP-22-00264. Epub 2023 Jun 7.
9
[Current methods of acoustic analysis of voice: a review].[当前嗓音声学分析方法综述]
Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 2022 Dec;36(12):966-970;976. doi: 10.13201/j.issn.2096-7993.2022.12.016.
10
Proteomic analysis reveals that aging rabbit vocal folds are more vulnerable to changes caused by systemic dehydration.蛋白质组学分析表明,衰老的兔声带更容易受到全身脱水引起的变化的影响。
BMC Genomics. 2022 Nov 21;23(1):762. doi: 10.1186/s12864-022-08975-x.

本文引用的文献

1
Perception-Production Links in Children's Speech.儿童言语的感知-产生联系。
J Speech Lang Hear Res. 2019 Apr 15;62(4):853-867. doi: 10.1044/2018_JSLHR-S-18-0178.
2
Language planning and pauses in story retell: Evidence from aging and Parkinson's disease.故事复述中的语言规划与停顿:来自衰老和帕金森病的证据
J Commun Disord. 2019 May-Jun;79:1-10. doi: 10.1016/j.jcomdis.2019.02.004. Epub 2019 Feb 26.
3
Acoustic characteristics of healthy voices of adults: from young to middle age.成年人健康嗓音的声学特征:从青年到中年
Codas. 2018 Oct 22;30(5):e20170225. doi: 10.1590/2317-1782/20182017225.
4
Speech Adaptation to Kinematic Recording Sensors: Perceptual and Acoustic Findings.语音对运动记录传感器的适应性:感知与声学研究结果。
J Speech Lang Hear Res. 2018 Mar 15;61(3):593-603. doi: 10.1044/2017_JSLHR-S-17-0169.
5
Effects of Aging on Vocal Fundamental Frequency and Vowel Formants in Men and Women.衰老对男性和女性嗓音基频及元音共振峰的影响。
J Voice. 2018 Sep;32(5):644.e1-644.e9. doi: 10.1016/j.jvoice.2017.08.003. Epub 2017 Aug 30.
6
Age- and gender-related difference of vocal fold vibration and glottal configuration in normal speakers: analysis with glottal area waveform.正常发声者声带振动和声门形态的年龄及性别差异:基于声门面积波形的分析
J Voice. 2014 Sep;28(5):525-31. doi: 10.1016/j.jvoice.2014.01.016. Epub 2014 May 16.
7
Analysis of longitudinal phase differences in vocal-fold vibration using synchronous high-speed videoendoscopy and electroglottography.使用同步高速视频喉镜和声门图分析声带振动的纵向相位差。
J Voice. 2012 Nov;26(6):816.e13-20. doi: 10.1016/j.jvoice.2012.04.009. Epub 2012 Oct 9.
8
Impact of typical aging and Parkinson's disease on the relationship among breath pausing, syntax, and punctuation.典型衰老和帕金森病对呼吸暂停、句法和标点之间关系的影响。
Am J Speech Lang Pathol. 2012 Nov;21(4):368-79. doi: 10.1044/1058-0360(2012/11-0059). Epub 2012 Jul 30.
9
Gender differences affecting vocal health of women in vocally demanding careers.影响从事高嗓音要求职业女性嗓音健康的性别差异。
Logoped Phoniatr Vocol. 2011 Oct;36(3):128-36. doi: 10.3109/14015439.2011.587447. Epub 2011 Jul 4.
10
Estimating dysphonia severity in continuous speech: application of a multi-parameter spectral/cepstral model.连续语音中发声障碍严重程度的评估:多参数频谱/倒谱模型的应用。
Clin Linguist Phon. 2009 Nov;23(11):825-41. doi: 10.3109/02699200903242988.