eprintid: 6001
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/60/01
datestamp: 2023-11-09 16:17:45
lastmod: 2023-11-09 16:17:45
status_changed: 2023-11-09 16:04:31
type: article
metadata_visibility: show
creators_name: Ali, Z.
creators_name: Muhammad, G.
creators_name: Alsulaiman, M.
creators_name: Elamvazuthi, I.
creators_name: Al-Mutib, K.
title: Oriented and interpolated local features for speech recognition of vocal fold disordered patients
ispublished: pub
note: cited By 1
abstract: A novel technique of oriented local features (OLF) for speech recognition has been introduced in this paper. A speech recognition system for dysphonic patients is implemented by application of the proposed technique. The developed system is evaluated by performing the training in three different ways: (a) with pathological samples, (b) with normal samples, and (c) with pathological and normal samples together. We compare the performance of the proposed feature with the most widely used speech feature in speech recognition, i.e., Mel-frequency cepstral coefficients. The Hidden Markov model is used for recognizing the speech. The proposed technique achieved a 94.98 recognition rate, which is almost identical to the recognition rate of 95.45 obtained with MFCC. © 2015 ISCA.
date: 2015
publisher: International Society for Computers and Their Applications
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019319598&partnerID=40&md5=907d1c8b22acc1d8982c12d501f1f25a
full_text_status: none
publication: International Journal of Computers and their Applications
volume: 22
number: 1
pagerange: 3-11
refereed: TRUE
issn: 10765204
citation:   Ali, Z. and Muhammad, G. and Alsulaiman, M. and Elamvazuthi, I. and Al-Mutib, K.  (2015) Oriented and interpolated local features for speech recognition of vocal fold disordered patients.  International Journal of Computers and their Applications, 22 (1).  pp. 3-11.  ISSN 10765204