Cover Image

Comparison of LPCC and MFCC for isolated Malay speech recognition

The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malay...

Full description

Saved in:
Bibliographic Details
Main Authors: Chong x, Chong Yen Fook, Muthusamy, Hariharan, Dr., Sazali, Yaacob, Prof. Dr., Abdul Hamid, Adom, Prof. Dr.
Other Authors: fook1987@gmail.com
Format: Working Paper
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2013
Subjects:
Malays Speech Recognition
LPCC
MFCC
White Gaussian noise
End-point detection
k-NN
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/30707
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-30707
record_format dspace
spelling my.unimap-307072013-12-21T02:58:46Z Comparison of LPCC and MFCC for isolated Malay speech recognition Chong x, Chong Yen Fook Muthusamy, Hariharan, Dr. Sazali, Yaacob, Prof. Dr. Abdul Hamid, Adom, Prof. Dr. fook1987@gmail.com hari@unimap.edu.my s.yaacob@unimap.edu.my abdhamid@unimap.edu.my Malays Speech Recognition LPCC MFCC White Gaussian noise End-point detection k-NN The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia. Automatic speech recognition (ASR) is an area of research which deals with the recognition of speech by machine in several conditions. ASR performs well under restricted conditions (quiet environment), but performance degrades in noisy environments. This paper presents a simple experiment by using famous feature extraction method (LPCC and MFCC) and k-NN classifier with ten-fold cross validation to investigate the sensitivity of Malay speech digits to noise by adding 0dB white Gaussian noise. There are four steps to design and develop the Malay speech digits recognition system. They are Digit syllable structure and Malay speech corpus, end-point detection processing, feature extraction and classification method. The average recognition rates for Malays digits recognition is 95% that the feature vectors were derived from LPCC and MFCC in clean environment. The objective of this paper is to shown the occurrence of noise during Malay speech recognition with different features vector (LPCC and MFCC) and comparison between them in noisy environment 2013-12-21T02:58:45Z 2013-12-21T02:58:45Z 2012-06-18 Working Paper p. 884 - 888 978-967-5760-11-2 http://hdl.handle.net/123456789/30707 en Proceedings of the The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012); Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Malays Speech Recognition
LPCC
MFCC
White Gaussian noise
End-point detection
k-NN
spellingShingle Malays Speech Recognition
LPCC
MFCC
White Gaussian noise
End-point detection
k-NN
Chong x, Chong Yen Fook
Muthusamy, Hariharan, Dr.
Sazali, Yaacob, Prof. Dr.
Abdul Hamid, Adom, Prof. Dr.
Comparison of LPCC and MFCC for isolated Malay speech recognition
description The 2nd International Malaysia-Ireland Joint Symposium on Engineering, Science and Business 2012 (IMiEJS2012) jointly organized by Universiti Malaysia Perlis and Athlone Institute of Technology in collaboration with The Ministry of Higher Education (MOHE) Malaysia, Education Malaysia and Malaysia Postgraduates Student Association Ireland (MyPSI), 18th - 19th June 2012 at Putra World Trade Center (PWTC), Kuala Lumpur, Malaysia.
author2 fook1987@gmail.com
author_facet fook1987@gmail.com
Chong x, Chong Yen Fook
Muthusamy, Hariharan, Dr.
Sazali, Yaacob, Prof. Dr.
Abdul Hamid, Adom, Prof. Dr.
format Working Paper
author Chong x, Chong Yen Fook
Muthusamy, Hariharan, Dr.
Sazali, Yaacob, Prof. Dr.
Abdul Hamid, Adom, Prof. Dr.
author_sort Chong x, Chong Yen Fook
title Comparison of LPCC and MFCC for isolated Malay speech recognition
title_short Comparison of LPCC and MFCC for isolated Malay speech recognition
title_full Comparison of LPCC and MFCC for isolated Malay speech recognition
title_fullStr Comparison of LPCC and MFCC for isolated Malay speech recognition
title_full_unstemmed Comparison of LPCC and MFCC for isolated Malay speech recognition
title_sort comparison of lpcc and mfcc for isolated malay speech recognition
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2013
url http://dspace.unimap.edu.my/xmlui/handle/123456789/30707
_version_ 1643795623560871936
score 13.214268

Similar Items