This paper presents a new database consisting of concurrent articulatory and
acoustic speech data. The articulatory data correspond to ultrasound videos of
the vocal tract dynamics, which allow the visualization of the tongue upper
contour during the speech production process. Acoustic data is composed of 30
short sentences that were acquired by a directional cardioid microphone. This
database includes data from 17 young subjects (8 male and 9 female) from the
Santander region in Colombia, who reported not having any speech pathology.

本文介绍了一个包含同时记录声音与口腔运动数据的新数据库。通过超声视频记录的口腔运动数据可以对语音产生过程中的舌头上轮廓进行可视化。声学数据由定向心形麦克风采集的 30 个短句组成。此数据库包括来自哥伦比亚圣塔德尔地区的 17 名年轻志愿者（8 男性和 9 女性），他们声称没有任何语音病理。

声道动力学超声图像序列的小型词汇数据库

A small vocabulary database of ultrasound image sequences of vocal tract  dynamics

This paper analyzes dysarthric speech datasets from three languages with
different prosodic systems: English, Korean, and Tamil. We inspect 39 acoustic
measurements which reflect three speech dimensions including voice quality,
pronunciation, and prosody. As multilingual analysis, examination on the mean
values of acoustic measurements by intelligibility levels is conducted.
Further, automatic intelligibility classification is performed to scrutinize
the optimal feature set by languages. Analyses suggest pronunciation features,
such as Percentage of Correct Consonants, Percentage of Correct Vowels, and
Percentage of Correct Phonemes to be language-independent measurements. Voice
quality and prosody features, however, generally present different aspects by
languages. Experimental results additionally show that different speech
dimension play a greater role for different languages: prosody for English,
pronunciation for Korean, both prosody and pronunciation for Tamil. This paper
contributes to speech pathology in that it differentiates between
language-independent and language-dependent measurements in intelligibility
classification for English, Korean, and Tamil dysarthric speech.

本文分析了来自英语、韩语和泰米尔语三种具有不同韵律系统的语言的语音障碍者讲话数据集，检查反映语音质量、发音和韵律三个讲话维度的 39 个声学测量标准，提出在了解说话的可懂水平的平均声学测量值的基础上进行多语种分析，并进行自动可懂性分类以研究最佳功能集。分析表明发音特征是语言无关的测量标准，如音素正确百分比、辅音正确百分比和元音正确百分比，而声音质量和韵律特征通常呈现不同的语言特征。实验结果进一步表明，不同的语音维度在不同的语言中发挥更大的作用：英语的韵律，韩语的发音，泰米尔语的韵律和发音。这篇论文为语音病理学做出了贡献，因为它区分了英语、韩语和泰米尔语的语音障碍者可懂性分类中语言无关和语言相关的测量标准。