• 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

相似文献

1
Automatic quantitative analysis of ultrasound tongue contours via wavelet-based functional mixed models.基于小波的功能混合模型对超声舌轮廓进行自动定量分析。
J Acoust Soc Am. 2015 Feb;137(2):EL178-83. doi: 10.1121/1.4905881.
2
Convolutional neural network-based automatic classification of midsagittal tongue gestural targets using B-mode ultrasound images.基于卷积神经网络的B超图像矢状面舌部姿态目标自动分类
J Acoust Soc Am. 2017 Jun;141(6):EL531. doi: 10.1121/1.4984122.
3
Acoustic and articulatory analysis of French vowels produced by congenitally blind adults and sighted adults.先天性盲人和视力正常成年人发法语元音的声学和发音分析。
J Acoust Soc Am. 2013 Oct;134(4):2975-87. doi: 10.1121/1.4818740.
4
Multimodal acquisition of articulatory data: Geometrical and temporal registration.发音数据的多模态采集：几何与时间配准。
J Acoust Soc Am. 2016 Feb;139(2):636-48. doi: 10.1121/1.4940666.
5
An ultrasound study of Canadian French rhotic vowels with polar smoothing spline comparisons.一项对加拿大法语卷舌元音的超声研究，并与极平滑样条进行比较。
J Acoust Soc Am. 2015 May;137(5):2858-69. doi: 10.1121/1.4919346.
6
Three speech sounds, one motor action: evidence for speech-motor disparity from English flap production.三种语音，一种运动动作：来自英语闪音发音的语音-运动差异证据。
J Acoust Soc Am. 2015 Mar;137(3):1493-502. doi: 10.1121/1.4906831.
7
Loudness pattern-based speech quality evaluation using bayesian modeling and Markov chain Monte Carlo methods.基于响度模式的语音质量评估：使用贝叶斯建模和马尔可夫链蒙特卡罗方法
J Acoust Soc Am. 2007 Feb;121(2):EL77-83. doi: 10.1121/1.2430765.
8
Automatic intelligibility assessment of speakers after laryngeal cancer by means of acoustic modeling.通过声学建模实现喉癌患者语音可懂度的自动评估。
J Voice. 2012 May;26(3):390-7. doi: 10.1016/j.jvoice.2011.04.010. Epub 2011 Aug 5.
9
A normative-speaker validation study of two indices developed to quantify tongue dorsum activity from midsagittal tongue shapes.一项针对为从矢状面舌形量化舌背活动而开发的两个指标的规范说话者验证研究。
Clin Linguist Phon. 2013 Jul;27(6-7):484-96. doi: 10.3109/02699206.2013.778903. Epub 2013 May 7.
10
Multidirectional regression (MDR)-based features for automatic voice disorder detection.基于多方向回归 (MDR) 的特征用于自动语音障碍检测。
J Voice. 2012 Nov;26(6):817.e19-27. doi: 10.1016/j.jvoice.2012.05.002.

引用本文的文献

1
Ultra-Fast Approximate Inference Using Variational Functional Mixed Models.使用变分函数混合模型的超快速近似推理
J Comput Graph Stat. 2023;32(2):353-365. doi: 10.1080/10618600.2022.2107532. Epub 2022 Oct 4.
2
A Unified Analysis of Structured Sonar-terrain Data using Bayesian Functional Mixed Models.使用贝叶斯函数混合模型对结构化声纳地形数据进行统一分析。
Technometrics. 2018;60(1):112-123. doi: 10.1080/00401706.2016.1274681. Epub 2017 May 25.

本文引用的文献

1
AUTOMATED ANALYSIS OF QUANTITATIVE IMAGE DATA USING ISOMORPHIC FUNCTIONAL MIXED MODELS, WITH APPLICATION TO PROTEOMICS DATA.使用同构功能混合模型对定量图像数据进行自动分析，并应用于蛋白质组学数据。
Ann Appl Stat. 2011 Jan 1;5(2A):894-923. doi: 10.1214/10-aoas407.
2
Wavelet-based functional mixed models.基于小波的功能混合模型。
J R Stat Soc Series B Stat Methodol. 2006 Apr 1;68(2):179-199. doi: 10.1111/j.1467-9868.2006.00539.x.
3
Automatic contour tracking in ultrasound images.超声图像中的自动轮廓跟踪
Clin Linguist Phon. 2005 Sep-Nov;19(6-7):545-54. doi: 10.1080/02699200500113616.
4
Modeling tongue surface contours from Cine-MRI images.从电影磁共振成像（Cine-MRI）图像中模拟舌面轮廓。
J Speech Lang Hear Res. 2001 Oct;44(5):1026-40. doi: 10.1044/1092-4388(2001/081).

基于小波的功能混合模型对超声舌轮廓进行自动定量分析。

Automatic quantitative analysis of ultrasound tongue contours via wavelet-based functional mixed models.

作者信息

Lancia Leonardo, Rausch Philip, Morris Jeffrey S

机构信息

Department of Linguistics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany

Berlin School of Mind and Brain, Department of German Studies and Linguistics, Humboldt Universität zu Berlin, Wolfgang Köhler-Haus, Rudower Chaussee 18, 12489 Berlin, Germany

出版信息

J Acoust Soc Am. 2015 Feb;137(2):EL178-83. doi: 10.1121/1.4905881.

DOI:10.1121/1.4905881
PMID:25698047
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5404820/
Abstract

This paper illustrates the application of wavelet-based functional mixed models to automatic quantification of differences between tongue contours obtained through ultrasound imaging. The reliability of this method is demonstrated through the analysis of tongue positions recorded from a female and a male speaker at the onset of the vowels /a/ and /i/ produced in the context of the consonants /t/ and /k/. The proposed method allows detection of significant differences between configurations of the articulators that are visible in ultrasound images during the production of different speech gestures and is compatible with statistical designs containing both fixed and random terms.

摘要

本文阐述了基于小波的功能混合模型在通过超声成像获得的舌轮廓差异自动量化中的应用。通过分析在辅音/t/和/k/语境下发出元音/a/和/i/起始时，从一名女性和一名男性说话者记录的舌位置，证明了该方法的可靠性。所提出的方法能够检测在不同言语手势产生过程中超声图像中可见的发音器官配置之间的显著差异，并且与包含固定项和随机项的统计设计兼容。