@Article{csse.2023.034687,
AUTHOR = {Ming Li, Kuntharrgyal Khysru, Haiqiang Shi, Qiang Fang, Jinrong Hu, Yun Chen},
TITLE = {A 3D Geometry Model of Vocal Tract Based on Smart Internet of Things},
JOURNAL = {Computer Systems Science and Engineering},
VOLUME = {46},
YEAR = {2023},
NUMBER = {1},
PAGES = {783--798},
URL = {http://www.techscience.com/csse/v46n1/51368},
ISSN = {},
ABSTRACT = {The Internet of Things (IoT) plays an essential role in the current and
future generations of information, network, and communication development and
applications. This research focuses on vocal tract visualization and modeling,
which are critical issues in realizing inner vocal tract animation. That is applied
in many fields, such as speech training, speech therapy, speech analysis and other
speech production-related applications. This work constructed a geometric model
by observation of Magnetic Resonance Imaging data, providing a new method to
annotate and construct 3D vocal tract organs. The proposed method has two
advantages compared with previous methods. Firstly it has a uniform construction
protocol for all speech organs. Secondly, this method can build correspondent feature points between different speech organs. There are less than three control parameters can be used to describe every speech organ accurately, for which the
accumulated contribution rate is more than 88%. By means of the reconfiguration,
the model error is less than 1.0 mm. Regarding to the data from Chinese Magnetic
resonance imaging (MRI), this is the first work of 3D vocal tract model. It will
promote the theoretical research and development of the intelligent Internet of
Things facing speech generation-related issues.},
DOI = {10.32604/csse.2023.034687}
}