Speech Recognition - Application to the Sinhala Language

dc.contributor.author	Warusawithana, M.P.
dc.contributor.author	Sonnadara, D.U.J.
dc.date.accessioned	2012-12-20T04:49:36Z
dc.date.available	2012-12-20T04:49:36Z
dc.date.issued	1998
dc.identifier.citation	Proceedings of the 17th National IT Conference (1998)	en_US
dc.identifier.uri	http://archive.cmb.ac.lk:8080/xmlui/handle/70130/3328
dc.description.abstract	A simple speech recognizer was implemented for the Sinhala language by using FFT combined with Mel scaled filter banks. The accuracy of the speech recognizer depends on what words are in the vocabulary, the number of sections in the filter bank, and the sampling frequency. In general, short words are difficult and long words are easy to recognize. With a limited set of sounds the technique discussed in this paper can be used to produce a speaker independent speech recognizer. A direct industry application to such a system would be the implementation of a voice command process control system.	en_US
dc.language.iso	en	en_US
dc.subject	Voice recognition	en_US
dc.title	Speech Recognition - Application to the Sinhala Language	en_US
dc.type	Research abstract	en_US