Paper Info
Title
Preliminary Test of a Wireless Magnetic Tongue Tracking System for Silent Speech Interface.
Abstract
A silent speech interface (SSI) converts non-audio information such as articulatory movement to text that can then drive a text-to-speech synthesizer. SSI has potential to assist the oral communication for individuals with impaired voice. In this paper, we present a prototype, wireless, permanent magnet articulography (PMA)-based tongue motion tracking system for SSI purpose. An array of magnetometers, embedded in this device, measures the changes in magnetic field induced by the movements of a magnetic tracer attached near the tongue tip. The magnetic field recordings are directly mapped to text by a deep neural network-based silent speech recognition algorithm. The recognition accuracy of target phonemes was evaluated in a speaker-specific task using a data set collected from six American English speakers. The average phoneme error rate was 37.3% and the word error rate was 32.1%. These encouraging results demonstrated the potential of our wireless device for silent speech interfaces.
Year
DOI
Venue
2018
10.1109/BIOCAS.2018.8584786
2018 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS): ADVANCED SYSTEMS FOR ENHANCING HUMAN HEALTH
Keywords
Field
DocType
Silent speech interface,silent speech recognition,tongue tracking,Multimodal Speech Capture System,permanent magnet articulograph
Computer vision,Wireless,Computer science,Word error rate,Tracking system,American English,Artificial intelligence,Silent speech interface,Artificial neural network,Hidden Markov model,Match moving
Conference
ISSN
Citations 
PageRank 
2163-4025
1
0.35
References 
Authors
0
5
Name
Order
Citations
PageRank
Myung Jong Kim1316.30
N. Sebkhi253.86
Beiming Cao381.51
Maysam Ghovanloo41090145.62
Jun Wang514415.26