Title :
Speaker independent isolated Arabic word recognition system
Author :
Elghonemy, M. ; Fikri, M. ; Hashish, M. ; Talkhan, E.
Author_Institution :
Cairo University
Abstract :
A speaker independent isolated Arabic word recognition system has been successfully implemented and tested. End-point detection and voiced/unvoiced segmentation algorithms are based on energy and zero-crossing rate (ZCR) using adaptive ZCR threshold. Formants are extracted using ZCI histograms obtained from filtered speech signal [1]. The speaker independent recognition rate is about 96% for ten Arabic words.
Keywords :
Acoustic noise; Hardware; Histograms; Indium tin oxide; Natural languages; Resonance; Speech recognition; System testing; Vocabulary; Working environment noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
DOI :
10.1109/ICASSP.1986.1169197
