ha-HA-hha吗?笑声的强度和音质特征

Bogdan Ludusan, P. Wagner
{"title":"ha-HA-hha吗?笑声的强度和音质特征","authors":"Bogdan Ludusan, P. Wagner","doi":"10.21437/speechprosody.2022-114","DOIUrl":null,"url":null,"abstract":"Laughter is one of the most widely-encountered paralinguis-tic phenomena in human interaction and it has been studied from different perspectives throughout the years, including its acoustic-prosodic realization. However, previous studies have mostly focused on fundamental frequency and duration measures, with other prosodic features being less studied. We ex-amine here the acoustic marking of laughter in terms of intensity and voice quality characteristics, by using a corpus of spontaneous conversations. We operationalized the two cues by means of the root-mean-square energy and the cepstral peak prominence, respectively. Examining laughs, speech-laughs and speech instances at two different levels (that of the entire event and at the syllable nucleus level) we observed the least regular phonation for laughs and the most regular one for speech, while intensity was the highest for speech-laughs, followed by laughter and the lowest for speech. Using mixed effect models we determined that all three vocalization classes differ significantly from one another, in terms of both acoustic cues. Moreover, an interesting effect of syllable position was seen for laughter, with phonation becoming more regular for later syllables.","PeriodicalId":442842,"journal":{"name":"Speech Prosody 2022","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ha-HA-hha? Intensity and voice quality characteristics of laughter\",\"authors\":\"Bogdan Ludusan, P. Wagner\",\"doi\":\"10.21437/speechprosody.2022-114\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Laughter is one of the most widely-encountered paralinguis-tic phenomena in human interaction and it has been studied from different perspectives throughout the years, including its acoustic-prosodic realization. However, previous studies have mostly focused on fundamental frequency and duration measures, with other prosodic features being less studied. We ex-amine here the acoustic marking of laughter in terms of intensity and voice quality characteristics, by using a corpus of spontaneous conversations. We operationalized the two cues by means of the root-mean-square energy and the cepstral peak prominence, respectively. Examining laughs, speech-laughs and speech instances at two different levels (that of the entire event and at the syllable nucleus level) we observed the least regular phonation for laughs and the most regular one for speech, while intensity was the highest for speech-laughs, followed by laughter and the lowest for speech. Using mixed effect models we determined that all three vocalization classes differ significantly from one another, in terms of both acoustic cues. Moreover, an interesting effect of syllable position was seen for laughter, with phonation becoming more regular for later syllables.\",\"PeriodicalId\":442842,\"journal\":{\"name\":\"Speech Prosody 2022\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Speech Prosody 2022\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21437/speechprosody.2022-114\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Speech Prosody 2022","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21437/speechprosody.2022-114","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

笑声是人类交往中最常见的副语言现象之一,多年来人们从不同的角度对其进行了研究,包括它的声学-韵律实现。然而,以往的研究主要集中在基本频率和持续时间的测量上,对其他韵律特征的研究较少。我们在这里通过使用自发对话语料库,从强度和语音质量特征方面研究笑声的声学标记。我们分别通过均方根能量和倒谱峰突出来操作这两个线索。在两个不同的层面(整个事件和音节核层面)检查笑声、言语-笑声和言语实例,我们观察到笑的发音最不规则,说话的发音最规则,而言语-笑声的强度最高,其次是笑声,说话的强度最低。使用混合效果模型,我们确定所有三种发声类别在声学线索方面彼此之间存在显着差异。此外,在笑声中还发现了一个有趣的音节位置效应,后面的音节发音变得更有规律。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
ha-HA-hha? Intensity and voice quality characteristics of laughter
Laughter is one of the most widely-encountered paralinguis-tic phenomena in human interaction and it has been studied from different perspectives throughout the years, including its acoustic-prosodic realization. However, previous studies have mostly focused on fundamental frequency and duration measures, with other prosodic features being less studied. We ex-amine here the acoustic marking of laughter in terms of intensity and voice quality characteristics, by using a corpus of spontaneous conversations. We operationalized the two cues by means of the root-mean-square energy and the cepstral peak prominence, respectively. Examining laughs, speech-laughs and speech instances at two different levels (that of the entire event and at the syllable nucleus level) we observed the least regular phonation for laughs and the most regular one for speech, while intensity was the highest for speech-laughs, followed by laughter and the lowest for speech. Using mixed effect models we determined that all three vocalization classes differ significantly from one another, in terms of both acoustic cues. Moreover, an interesting effect of syllable position was seen for laughter, with phonation becoming more regular for later syllables.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Conversational Correlates of Prosodic Entrainment in Youth with and without Autism Spectrum Disorder Individual variation in F0 marking of turn-taking in natural conversation in German and Swedish Contribution of voice quality to prediction of turn-taking events Production of Lexical Stress Matures Late in Typically Developing Children Can Prosody Transfer Embeddings be Used for Prosody Assessment?
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1