Title
Pronunciation Training through Articulation Motion Sensing
Abstract
ABSTRACTVowels are considered the essence of the syllable, which controls the articulation of each word uttered. However, articulation sensing has not been adequately evaluated. The challenging task is that the speech signal contains insufficient information for articulation analysis. It is difficult for users to improve their pronunciation only by getting scoring feedback on pronunciation assessments. We propose a new method to simultaneously use two different acoustic signals (speech and ultrasonic) to recognize lip shape and tongue position. The system gives articulation feedback to a user, identifying the articulation of monophthongs in multiple languages. The proposed technique is implemented into an off-the-shelf smartphone to be more accessible.
Year
DOI
Venue
2021
10.1145/3474349.3480187
User Interface Software and Technology
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Aslan B. Wong100.68
Ziqi Huang2123.53
Qianru Liao300.34
kaishun wu4105994.59