• 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

会厌谷对歌唱声音的动态影响——一项使用3D打印声道的探索性研究。

The Dynamic Effect of the Valleculae on Singing Voice - An Exploratory Study Using 3D Printed Vocal Tracts.

作者信息

Feng Mengli, Howard David M

机构信息

Department of Electronic Engineering, Royal Holloway, University of London, Egham, United Kingdom.

Department of Electronic Engineering, Royal Holloway, University of London, Egham, United Kingdom.

出版信息

J Voice. 2023 Mar;37(2):178-186. doi: 10.1016/j.jvoice.2020.12.012. Epub 2021 Jan 1.

DOI:10.1016/j.jvoice.2020.12.012
PMID:33397591
Abstract

BACKGROUND AND OBJECTIVES

The valleculae can be seen as a pair of side branches of the human vocal tract like the piriform fossae. While the acoustic properties of the piriform fossae have been explored in detail, there is little evidence of full exploration of the acoustic properties of the valleculae. A recent investigation (Vampola, Horáček, & Švec, 2015), using a finite element model of a single vowel /a/, suggests that the valleculae created two antiresonances and two resonances in the high frequency region (above 4kHz) along with those produced by the piriform sinuses. In the current study, we investigate, in multiple vowels, the acoustic influences of the valleculae in singing voice, using 3-D printed vocal tracts.

METHOD

MRI data were collected from an operatic tenor singing English vowels /a/, /u/, /i/. The images of each vowel were segmented and edited to create a pair of tracts, where one is the original and one had the valleculae digitally removed.The printed tracts were then placed atop a vocal tract organ loudspeaker, excited by white noise. Recordings were made with a microphone placed in front of the mouths of the tracts, to measure their frequency responses.

RESULTS

Dimensional changes were observed in valleculae of different vowels, with the long-term average spectra of the recordings illustrating clear differences between the frequency responses of the va-nova (valleculae - no valleculae) pairs, which varies with vowels.

CONCLUSION

The experiment demonstrates the dynamic nature of the shapes of the valleculae in the human vocal tract and its acoustic consequences. It provides evidence that the valleculae have similar acoustic properties to the piriform fossae but with larger variations, and in some cases can influence acoustically the frequency region below 4kHz. The results suggest that large volume valleculae have the potential to impede to some extent the acoustic effect of the singers formant cluster and small valleculae may do the reverse. Since the volume of the valleculae is observed to be largely dependent on tongue movement and also with changes to the uttered vowel, it can be assumed that the high frequency energy, including that within the singer's formant region, could be vowel dependent. Strategies to control valleculae volumes are likely to be highly relevant to voice pedagogy practice as well as singing performance.

摘要

背景与目的

下咽谷可被视作人类声道的一对侧支,类似于梨状窝。虽然梨状窝的声学特性已得到详细探究,但几乎没有证据表明下咽谷的声学特性得到了充分研究。最近一项研究(Vampola、Horáček和Švec,2015年)使用单个元音/a/的有限元模型表明,下咽谷在高频区域(4kHz以上)与梨状窦一起产生了两个反共振和两个共振。在本研究中,我们使用3D打印的声道,研究多个元音中下咽谷对歌唱声音的声学影响。

方法

收集了一位歌剧男高音演唱英语元音/a/、/u/、/i/时的MRI数据。对每个元音的图像进行分割和编辑,以创建一对声道模型,其中一个是原始模型,另一个是通过数字方式去除了下咽谷的模型。然后将打印好的声道模型放置在声道器官扬声器上,用白噪声进行激励。在声道模型嘴部前方放置麦克风进行录音,以测量其频率响应。

结果

观察到不同元音的下咽谷存在尺寸变化,录音的长期平均谱表明,下咽谷存在与否的声道模型对(va - nova,即valleculae - no valleculae)的频率响应之间存在明显差异,且这种差异随元音而变化。

结论

该实验证明了人类声道中下咽谷形状具有动态特性及其声学后果。它提供了证据表明,下咽谷具有与梨状窝相似的声学特性,但变化更大,并且在某些情况下会对4kHz以下的频率区域产生声学影响。结果表明,较大容积的下咽谷有可能在一定程度上阻碍歌手共振峰簇的声学效果,而较小容积的下咽谷可能起到相反作用。由于观察到下咽谷的容积在很大程度上取决于舌头的运动以及所发出元音的变化,可以假设高频能量,包括歌手共振峰区域内的能量,可能取决于元音。控制下咽谷容积的策略可能与声乐教学实践以及歌唱表演高度相关。

相似文献

1
The Dynamic Effect of the Valleculae on Singing Voice - An Exploratory Study Using 3D Printed Vocal Tracts.会厌谷对歌唱声音的动态影响——一项使用3D打印声道的探索性研究。
J Voice. 2023 Mar;37(2):178-186. doi: 10.1016/j.jvoice.2020.12.012. Epub 2021 Jan 1.
2
The Vocal Tract Organ: A New Musical Instrument Using 3-D Printed Vocal Tracts.声道器官:一种使用3D打印声道的新型乐器。
J Voice. 2018 Nov;32(6):660-667. doi: 10.1016/j.jvoice.2017.09.014. Epub 2017 Oct 31.
3
A new method to explore the spectral impact of the piriform fossae on the singing voice: benchmarking using MRI-based 3D-printed vocal tracts.一种探索梨状窝对歌唱声音频谱影响的新方法:基于MRI的3D打印声道的基准测试。
PLoS One. 2014 Jul 21;9(7):e102680. doi: 10.1371/journal.pone.0102680. eCollection 2014.
4
Formant and Voice Source Characteristics of Vowels in Chinese National Singing and Bel Canto. A Pilot Study.中国民族唱法和美声唱法中元音的共振峰与声源特征:一项初步研究
J Voice. 2023 Nov 6. doi: 10.1016/j.jvoice.2023.10.016.
5
"Ring" in the solo child singing voice.独唱童声的“Ring”音。
J Voice. 2014 Mar;28(2):161-9. doi: 10.1016/j.jvoice.2013.09.001. Epub 2013 Nov 8.
6
Acoustic analysis of the vocal tract during vowel production by finite-difference time-domain method.通过有限差分时域方法对元音产生过程中声道的声学分析。
J Acoust Soc Am. 2010 Dec;128(6):3724-38. doi: 10.1121/1.3502470.
7
Lower Vocal Tract Morphologic Adjustments Are Relevant for Voice Timbre in Singing.下声道形态调整与歌唱中的音色相关。
PLoS One. 2015 Jul 17;10(7):e0132241. doi: 10.1371/journal.pone.0132241. eCollection 2015.
8
Automatic Assessment of Acoustic Parameters of the Singing Voice: Application to Professional Western Operatic and Jazz Singers.歌唱声音声学参数的自动评估:在专业西方歌剧和爵士歌手身上的应用
J Voice. 2015 Jul;29(4):517.e1-9. doi: 10.1016/j.jvoice.2014.09.014. Epub 2015 Mar 17.
9
Effect of FFP2/3 Masks on Voice Range Profile Measurement and Voice Acoustics in Routine Voice Diagnostics.FFP2/3 口罩对常规语音诊断中的语音范围谱测量和语音声学的影响。
Folia Phoniatr Logop. 2022;74(5):335-344. doi: 10.1159/000524299. Epub 2022 Mar 28.
10
Level and center frequency of the singer's formant.歌手共振峰的频率水平和中心频率。
J Voice. 2001 Jun;15(2):176-86. doi: 10.1016/S0892-1997(01)00019-4.

引用本文的文献

1
Open-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRI Using Deep Learning: Benchmarking 2D and 3D Convolutional and Transformer Networks.用于基于深度学习从3D MRI进行自动分割的开源手动标注声道数据库:2D和3D卷积网络与Transformer网络的基准测试
J Voice. 2025 Mar 5. doi: 10.1016/j.jvoice.2025.02.026.
2
Voice efficiency for different voice qualities combining experimentally derived sound signals and numerical modeling of the vocal tract.结合实验得出的声音信号和声道数值模型,研究不同音质的语音效率。
Front Physiol. 2022 Dec 23;13:1081622. doi: 10.3389/fphys.2022.1081622. eCollection 2022.