Speaker Identification Using Glottal-Source Waveforms and Support-Vector-Machine Modelling

David Vandyke; Michael Wagner; Girija Chetty; Roland Goecke

Speaker Identification Using Glottal-Source Waveforms and Support-Vector-Machine Modelling

David Vandyke, Michael Wagner, Girija Chetty, Roland Goecke

Information Systems

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

Abstract

Speaker identification experiments are performed with novel features representative of the glottal source waveform. These are derived from closed-phase analysis and inverse filtering. Source waveforms are segmented into two consecutive periods and normalised in prosody, forming so called source-frame feature vectors. Support-vector-machines are used to construct speaker discriminative hyperplanes and identification rates are reported. Groups of male speakers of size 5 to 20 are examined from the YOHO corpus and 65% correct identification rates are achieved on a per source-frame basis. Finally the source-frames phonetic independence is confirmed with the TI 46-Word corpus.

Original language	English
Title of host publication	Proceedings of the 14th Australasian International Conference on Speech Science and Technology
Editors	Felicity Cox, Katherine Demuth, Susan Lin, Kelly Miles, Sallyanne Palethrope, Jason Shaw, Ivan Yuen
Place of Publication	Sydney, Australia
Publisher	Australasian Speech Science and Technology Association (ASSTA)
Pages	49-52
Number of pages	4
Publication status	Published - 2012
Event	14th Australasian International Conference on Speech Science and Technology - Sydney, Sydney, Australia Duration: 3 Dec 2012 → 6 Dec 2012

Publication series

Name	ASSTA 2013
Publisher	Australasian Speech Science and Technology Association
ISSN (Print)	1039-0227

Conference

Conference	14th Australasian International Conference on Speech Science and Technology
Country/Territory	Australia
City	Sydney
Period	3/12/12 → 6/12/12

Access to Document

http://assta.org/sst/SST-12/SST2012/PDF/AUTHOR/ST120061.PDF#page1

Cite this

Vandyke, D., Wagner, M., Chetty, G., & Goecke, R. (2012). Speaker Identification Using Glottal-Source Waveforms and Support-Vector-Machine Modelling. In F. Cox, K. Demuth, S. Lin, K. Miles, S. Palethrope, J. Shaw, & I. Yuen (Eds.), Proceedings of the 14th Australasian International Conference on Speech Science and Technology (pp. 49-52). (ASSTA 2013). Australasian Speech Science and Technology Association (ASSTA). http://assta.org/sst/SST-12/SST2012/PDF/AUTHOR/ST120061.PDF#page1

Vandyke, David ; Wagner, Michael ; Chetty, Girija et al. / Speaker Identification Using Glottal-Source Waveforms and Support-Vector-Machine Modelling. Proceedings of the 14th Australasian International Conference on Speech Science and Technology. editor / Felicity Cox ; Katherine Demuth ; Susan Lin ; Kelly Miles ; Sallyanne Palethrope ; Jason Shaw ; Ivan Yuen. Sydney, Australia : Australasian Speech Science and Technology Association (ASSTA), 2012. pp. 49-52 (ASSTA 2013).

@inproceedings{dafcbe462e004c95954e0c8b7d6b46d7,

title = "Speaker Identification Using Glottal-Source Waveforms and Support-Vector-Machine Modelling",

abstract = "Speaker identification experiments are performed with novel features representative of the glottal source waveform. These are derived from closed-phase analysis and inverse filtering. Source waveforms are segmented into two consecutive periods and normalised in prosody, forming so called source-frame feature vectors. Support-vector-machines are used to construct speaker discriminative hyperplanes and identification rates are reported. Groups of male speakers of size 5 to 20 are examined from the YOHO corpus and 65% correct identification rates are achieved on a per source-frame basis. Finally the source-frames phonetic independence is confirmed with the TI 46-Word corpus.",

keywords = "Speaker identification, Glottal Source waveform, Support vector machine, Linear Predictive Coding",

author = "David Vandyke and Michael Wagner and Girija Chetty and Roland Goecke",

year = "2012",

language = "English",

series = "ASSTA 2013",

publisher = "Australasian Speech Science and Technology Association (ASSTA)",

pages = "49--52",

editor = "Felicity Cox and Katherine Demuth and Susan Lin and Kelly Miles and Sallyanne Palethrope and Jason Shaw and Ivan Yuen",

booktitle = "Proceedings of the 14th Australasian International Conference on Speech Science and Technology",

note = "14th Australasian International Conference on Speech Science and Technology ; Conference date: 03-12-2012 Through 06-12-2012",

}

Vandyke, D, Wagner, M, Chetty, G & Goecke, R 2012, Speaker Identification Using Glottal-Source Waveforms and Support-Vector-Machine Modelling. in F Cox, K Demuth, S Lin, K Miles, S Palethrope, J Shaw & I Yuen (eds), Proceedings of the 14th Australasian International Conference on Speech Science and Technology. ASSTA 2013, Australasian Speech Science and Technology Association (ASSTA), Sydney, Australia, pp. 49-52, 14th Australasian International Conference on Speech Science and Technology, Sydney, New South Wales, Australia, 3/12/12. <http://assta.org/sst/SST-12/SST2012/PDF/AUTHOR/ST120061.PDF#page1>

Speaker Identification Using Glottal-Source Waveforms and Support-Vector-Machine Modelling. / Vandyke, David; Wagner, Michael; Chetty, Girija et al.
Proceedings of the 14th Australasian International Conference on Speech Science and Technology. ed. / Felicity Cox; Katherine Demuth; Susan Lin; Kelly Miles; Sallyanne Palethrope; Jason Shaw; Ivan Yuen. Sydney, Australia: Australasian Speech Science and Technology Association (ASSTA), 2012. p. 49-52 (ASSTA 2013).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - Speaker Identification Using Glottal-Source Waveforms and Support-Vector-Machine Modelling

AU - Vandyke, David

AU - Wagner, Michael

AU - Chetty, Girija

AU - Goecke, Roland

PY - 2012

Y1 - 2012

N2 - Speaker identification experiments are performed with novel features representative of the glottal source waveform. These are derived from closed-phase analysis and inverse filtering. Source waveforms are segmented into two consecutive periods and normalised in prosody, forming so called source-frame feature vectors. Support-vector-machines are used to construct speaker discriminative hyperplanes and identification rates are reported. Groups of male speakers of size 5 to 20 are examined from the YOHO corpus and 65% correct identification rates are achieved on a per source-frame basis. Finally the source-frames phonetic independence is confirmed with the TI 46-Word corpus.

AB - Speaker identification experiments are performed with novel features representative of the glottal source waveform. These are derived from closed-phase analysis and inverse filtering. Source waveforms are segmented into two consecutive periods and normalised in prosody, forming so called source-frame feature vectors. Support-vector-machines are used to construct speaker discriminative hyperplanes and identification rates are reported. Groups of male speakers of size 5 to 20 are examined from the YOHO corpus and 65% correct identification rates are achieved on a per source-frame basis. Finally the source-frames phonetic independence is confirmed with the TI 46-Word corpus.

KW - Speaker identification

KW - Glottal Source waveform

KW - Support vector machine

KW - Linear Predictive Coding

UR - http://assta.org/sst/SST-12/SST2012/PDF/INDEXSCR.PDF#toc

M3 - Conference contribution

T3 - ASSTA 2013

SP - 49

EP - 52

BT - Proceedings of the 14th Australasian International Conference on Speech Science and Technology

A2 - Cox, Felicity

A2 - Demuth, Katherine

A2 - Lin, Susan

A2 - Miles, Kelly

A2 - Palethrope, Sallyanne

A2 - Shaw, Jason

A2 - Yuen, Ivan

PB - Australasian Speech Science and Technology Association (ASSTA)

CY - Sydney, Australia

T2 - 14th Australasian International Conference on Speech Science and Technology

Y2 - 3 December 2012 through 6 December 2012

ER -

Vandyke D, Wagner M, Chetty G, Goecke R. Speaker Identification Using Glottal-Source Waveforms and Support-Vector-Machine Modelling. In Cox F, Demuth K, Lin S, Miles K, Palethrope S, Shaw J, Yuen I, editors, Proceedings of the 14th Australasian International Conference on Speech Science and Technology. Sydney, Australia: Australasian Speech Science and Technology Association (ASSTA). 2012. p. 49-52. (ASSTA 2013).

Speaker Identification Using Glottal-Source Waveforms and Support-Vector-Machine Modelling

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