Title :
Software tools for speech therapy and voice quality monitoring
Author :
Turk, Oytun ; Arslan, Levent M.
Author_Institution :
Multimedia Lab., Bogazici Univ., Istanbul, Turkey
Abstract :
This study focuses on the development of software tools integrated with speech processing technology for speech pathologists and for patients with speech/language disorders and voice quality problems. An integrated interface called CATSEAR is under development for database collection, data analysis, therapy design, and patient monitoring. Automatic assessment techniques using pattern recognition algorithms enable the speech pathologist to employ objective criteria during speech therapy as well as guide the patients when the pathologist is not available. The performance of the patient can be monitored over time. CATSEAR enables sharing of databases among speech therapists with remote collaboration and pre-recorded analysis facilities. It can also be used for relatively mild disorders like mispronunciation and for singing voice training.
Keywords :
data analysis; handicapped aids; patient monitoring; patient treatment; software packages; speech processing; user interfaces; CATSEAR; automatic assessment techniques; data analysis; database collection; patient monitoring; pattern recognition algorithms; singing voice training; software tools; speech pathologists; speech processing technology; speech therapy; therapy design; voice quality monitoring; voice quality problems; Databases; Hidden Markov models; Medical treatment; Monitoring; Speech; Speech processing; Speech recognition;
Conference_Titel :
Signal Processing Conference, 2005 13th European
Conference_Location :
Antalya
Print_ISBN :
978-160-4238-21-1