Development of Isolated Word Speech Recognition System

Article type: Research Article

Authors: Lipeika, Antanas | Lipeikienė, Joana | Telksnys, Laimutis

Affiliations: Institute of Mathematics and Informatics, Akademijos 4, 2600 Vilnius, Lithuania. E-mail: [email protected]

Abstract: The isolated word speech recognition system based on dynamic time warping (DTW) has been developed. Speaker adaptation is performed using speaker recognition techniques. Vector quantization is used to create reference templates for speaker recognition. Linear predictive coding (LPC) parameters are used as features for recognition. Performance is evaluated using 12 words of Lithuanian language pronounced ten times by ten speakers.

Keywords: speech recognition, speaker recognition, dynamic time warping, vector quantization, LPC features

DOI: 10.3233/INF-2002-13103

Journal: Informatica, vol. 13, no. 1, pp. 37-46, 2002