Paper Info
Title
Cued Speech Recognition For Augmentative Communication In Normal-Hearing And Hearing-Impaired Subjects
Abstract
Speech is the most natural communication mean for humans. However, in situations where audio speech is not available or cannot be perceived because of disabilities or adverse environmental conditions, people may resort to alternative methods such as augmented speech. Augmented speech is audio speech supplemented or replaced by other modalities, such as audiovisual speech, or Cued Speech. Cued Speech is a visual communication mode, which uses lipreading and handshapes placed in different position to make spoken language wholly understandable to deaf individuals. The current study reports the authors' activities and progress in Cued Speech recognition for French. Previously, the authors have reported experimental results for vowel- and consonant recognition in Cued Speech for French in the case of a normal-hearing subject. The study has been extended by also employing a deaf cuer, and both cuer-dependent and multi-cuer experiments based on hidden Markov models (HMM) have been conducted.
Year
Venue
Keywords
2009
INTERSPEECH 2009: 10TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2009, VOLS 1-5
Cued Speech, hidden Markov models, automatic recognition
Field
DocType
Citations 
Modalities,Consonant,Computer science,Cued speech,Speech recognition,Visual communication,Hidden Markov model,Spoken language,Augmentative
Conference
3
PageRank 
References 
Authors
0.60
4
3
Name
Order
Citations
PageRank
Panikos Heracleous16816.27
Denis Beautemps25716.31
Noureddine Aboutabit3163.68