基于多源图像信息的声道重建

Song Wang, Shen Liu, Jianguo Wei, Qiang Fang, J. Dang
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引用次数: 3

摘要

目前,各种记录发音的仪器各有优缺点,没有一种仪器能够记录包含发音器全部信息的数据。例如,超声系统可以获得舌头的主要表面信息,但在某些情况下图像存在噪声,无法记录舌尖。而EMA系统可以精确地记录与舌表面附加传感器相关的关键点的轨迹数据。因此,我们同时使用EMA和超声作为补充。在本文中,我们将使用超声系统和EMA系统来记录舌头的运动。通过超声系统获取超声图像和同步音频;EMA系统用于采集EMA数据和同步音频。我们通过音频文件对超声图像和EMA数据进行注册和匹配。并对各时间点的超声图像和EMA数据进行空间整合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reconstruction of vocal tract based on multi-source image information
At present, a variety of instruments recording the articulation have its own pros and cons. None is able to record the data containing all the information of articulators. For example, ultrasound system can obtain main surface information of the tongue, but the images are noisy and cannot record tongue tip under some cases. While the EMA system can precisely record trajectory data of the key points associated with attached sensors on the tongue surface. Therefore, we use EMA and ultrasound simultaneously as a complementary. In this paper, we will use the ultrasound system and the EMA system to record the tongue's movement. We obtain the ultrasound images and the synchronous audio by the ultrasound system; the EMA system is used to collect the EMA data and the synchronous audio. We register and match the ultrasound images and the EMA data by the audio files. And we integrate spatially the ultrasound images and the EMA data of each time point.
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