Segmentation of audio visual malay digit utterances using endpoint detection

Mohd Ridzuwary Mohd Zainal, Aini Hussain, Salina Abdul Samad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

An endpoint detection algorithm is utilised for segmentation of audio video Malay utterances. An audio visual Malay speech database of subjects uttering numerical digits is used. Synchronization between video frames and audio signals is taken into considerations for audio visual speech processing. The proposed system is able to group together the individual syllables that make up each of the uttered Malay digits.

Original languageEnglish
Title of host publicationLecture Notes in Electrical Engineering
Pages281-286
Number of pages6
Volume156 LNEE
EditionVOL. 1
DOIs
Publication statusPublished - 2013
EventInternational Conference on Data Engineering and Internet Technology, DEIT 2011 - Bali
Duration: 15 Mar 201217 Mar 2012

Publication series

NameLecture Notes in Electrical Engineering
NumberVOL. 1
Volume156 LNEE
ISSN (Print)18761100
ISSN (Electronic)18761119

Other

OtherInternational Conference on Data Engineering and Internet Technology, DEIT 2011
CityBali
Period15/3/1217/3/12

Fingerprint

Speech processing
Synchronization

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

Zainal, M. R. M., Hussain, A., & Abdul Samad, S. (2013). Segmentation of audio visual malay digit utterances using endpoint detection. In Lecture Notes in Electrical Engineering (VOL. 1 ed., Vol. 156 LNEE, pp. 281-286). (Lecture Notes in Electrical Engineering; Vol. 156 LNEE, No. VOL. 1). https://doi.org/10.1007/978-3-642-28807-4_40

Segmentation of audio visual malay digit utterances using endpoint detection. / Zainal, Mohd Ridzuwary Mohd; Hussain, Aini; Abdul Samad, Salina.

Lecture Notes in Electrical Engineering. Vol. 156 LNEE VOL. 1. ed. 2013. p. 281-286 (Lecture Notes in Electrical Engineering; Vol. 156 LNEE, No. VOL. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zainal, MRM, Hussain, A & Abdul Samad, S 2013, Segmentation of audio visual malay digit utterances using endpoint detection. in Lecture Notes in Electrical Engineering. VOL. 1 edn, vol. 156 LNEE, Lecture Notes in Electrical Engineering, no. VOL. 1, vol. 156 LNEE, pp. 281-286, International Conference on Data Engineering and Internet Technology, DEIT 2011, Bali, 15/3/12. https://doi.org/10.1007/978-3-642-28807-4_40
Zainal MRM, Hussain A, Abdul Samad S. Segmentation of audio visual malay digit utterances using endpoint detection. In Lecture Notes in Electrical Engineering. VOL. 1 ed. Vol. 156 LNEE. 2013. p. 281-286. (Lecture Notes in Electrical Engineering; VOL. 1). https://doi.org/10.1007/978-3-642-28807-4_40
Zainal, Mohd Ridzuwary Mohd ; Hussain, Aini ; Abdul Samad, Salina. / Segmentation of audio visual malay digit utterances using endpoint detection. Lecture Notes in Electrical Engineering. Vol. 156 LNEE VOL. 1. ed. 2013. pp. 281-286 (Lecture Notes in Electrical Engineering; VOL. 1).
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