Cover Image

Heterogeneous speech prediction using LDA classifiers

Link to publisher's homepage at http://www.ttp.net/

Saved in:
Bibliographic Details
Main Authors: Mohd Ridzwan, Tamjis, Muhammad Naufal, Mansor, Ahmad Kadri, Junoh, Amran, Ahmed, Wan Suhana, Wan Daud, Azrini, Idris
Other Authors: mystril_nd@yahoo.com
Format: Article
Language:English
Published: Trans Tech Publications 2015
Subjects:
Acoustic measurement
Linear discriminant analysis
Speech intelligibility
Speech quality
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/38995
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimap-38995
record_format dspace
spelling my.unimap-389952015-02-23T14:30:56Z Heterogeneous speech prediction using LDA classifiers Mohd Ridzwan, Tamjis Muhammad Naufal, Mansor Ahmad Kadri, Junoh Amran, Ahmed Wan Suhana, Wan Daud Azrini, Idris mystril_nd@yahoo.com apairia@yahoo.com kadri@unimap.edu.my amranahmed@unimap.edu.my wsuhana@unimap.edu.my azrinidris@yahoo.com.my Acoustic measurement Linear discriminant analysis Speech intelligibility Speech quality Link to publisher's homepage at http://www.ttp.net/ Classroom speech intelligibility has become one of the main concerns in schools and other learning institutions development nowadays. This is because the qualities of student’s perceptions towards teacher are essentials in learning development. Measures have been introduced by the acoustical association to tackle the speech intelligibility problems in the classroom such as room renovations. Room’s acoustics standards have been introduced in several countries but still the questions on whether the standards fits on every classroom in different countries are still arise. Studies have also shown that most of the researches that have been conducted were only focusing on the conventional type classroom which depends only on the teacher’s vocal power. This paper will formulate the measurement protocol on measuring the speech intelligibility in the sound reinforced (multiple speaker) classroom. Finally it was found that the speech intelligibility in the sound reinforced classroom is better than the conventional classroom by using Linear Discriminant Analysis. 2015-02-23T14:30:56Z 2015-02-23T14:30:56Z 2014-08 Article Advanced Materials Research, vol.1016, 2014, pages 267-272 1662-8985 http://dspace.unimap.edu.my:80/xmlui/handle/123456789/38995 http://www.scientific.net/AMR.1016.267 10.4028/www.scientific.net/AMR.1016.267 en Trans Tech Publications
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 Acoustic measurement
Linear discriminant analysis
Speech intelligibility
Speech quality
spellingShingle Acoustic measurement
Linear discriminant analysis
Speech intelligibility
Speech quality
Mohd Ridzwan, Tamjis
Muhammad Naufal, Mansor
Ahmad Kadri, Junoh
Amran, Ahmed
Wan Suhana, Wan Daud
Azrini, Idris
Heterogeneous speech prediction using LDA classifiers
description Link to publisher's homepage at http://www.ttp.net/
author2 mystril_nd@yahoo.com
author_facet mystril_nd@yahoo.com
Mohd Ridzwan, Tamjis
Muhammad Naufal, Mansor
Ahmad Kadri, Junoh
Amran, Ahmed
Wan Suhana, Wan Daud
Azrini, Idris
format Article
author Mohd Ridzwan, Tamjis
Muhammad Naufal, Mansor
Ahmad Kadri, Junoh
Amran, Ahmed
Wan Suhana, Wan Daud
Azrini, Idris
author_sort Mohd Ridzwan, Tamjis
title Heterogeneous speech prediction using LDA classifiers
title_short Heterogeneous speech prediction using LDA classifiers
title_full Heterogeneous speech prediction using LDA classifiers
title_fullStr Heterogeneous speech prediction using LDA classifiers
title_full_unstemmed Heterogeneous speech prediction using LDA classifiers
title_sort heterogeneous speech prediction using lda classifiers
publisher Trans Tech Publications
publishDate 2015
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/38995
_version_ 1643798944118996992
score 13.222552

Similar Items