Automatic classification of speaker characteristics

Phuoc Nguyen, Dat Tran, Xu Huang, Dharmendra Sharma

Research output: A Conference proceeding or a Chapter in BookConference contribution

1 Citation (Scopus)

Abstract

An automatic voice-based classification system of speaker characteristics including age, gender and accent is presented in this paper. Speakers are grouped according to their characteristics and their speech features are then extracted to train speaker group models using different classification techniques. Finally fusion of classification results for those speaker groups is performed to obtain results for each speaker characteristic. The ANDOSL Australian speech database consisting of 108 speakers and 21600 long utterances was used for system evaluation. Experiments showed high performance for the proposed classification of speaker characteristics.
Original languageEnglish
Title of host publicationThe Third International Conference on Communications and Electronics (ICCE 2010)
EditorsRoberto de Marea, Iwao Sasase, Nguyen Van Khang
Place of PublicationUSA
PublisherIEEE
Pages147-152
Number of pages6
ISBN (Print)9781424470570
DOIs
Publication statusPublished - 2010
EventICCE 2010: The Third International Conference on Communications and Electronics - Nha Trang, Viet Nam
Duration: 11 Aug 201013 Aug 2010

Conference

ConferenceICCE 2010: The Third International Conference on Communications and Electronics
CountryViet Nam
CityNha Trang
Period11/08/1013/08/10

Fingerprint

Fusion reactions
Experiments

Cite this

Nguyen, P., Tran, D., Huang, X., & Sharma, D. (2010). Automatic classification of speaker characteristics. In R. de Marea, I. Sasase, & N. V. Khang (Eds.), The Third International Conference on Communications and Electronics (ICCE 2010) (pp. 147-152). USA: IEEE. https://doi.org/10.1109/ICCE.2010.5670700
Nguyen, Phuoc ; Tran, Dat ; Huang, Xu ; Sharma, Dharmendra. / Automatic classification of speaker characteristics. The Third International Conference on Communications and Electronics (ICCE 2010). editor / Roberto de Marea ; Iwao Sasase ; Nguyen Van Khang. USA : IEEE, 2010. pp. 147-152
@inproceedings{c72ef2222b394a1cae588fc8fe3c30ea,
title = "Automatic classification of speaker characteristics",
abstract = "An automatic voice-based classification system of speaker characteristics including age, gender and accent is presented in this paper. Speakers are grouped according to their characteristics and their speech features are then extracted to train speaker group models using different classification techniques. Finally fusion of classification results for those speaker groups is performed to obtain results for each speaker characteristic. The ANDOSL Australian speech database consisting of 108 speakers and 21600 long utterances was used for system evaluation. Experiments showed high performance for the proposed classification of speaker characteristics.",
author = "Phuoc Nguyen and Dat Tran and Xu Huang and Dharmendra Sharma",
year = "2010",
doi = "10.1109/ICCE.2010.5670700",
language = "English",
isbn = "9781424470570",
pages = "147--152",
editor = "{de Marea}, Roberto and Iwao Sasase and Khang, {Nguyen Van}",
booktitle = "The Third International Conference on Communications and Electronics (ICCE 2010)",
publisher = "IEEE",

}

Nguyen, P, Tran, D, Huang, X & Sharma, D 2010, Automatic classification of speaker characteristics. in R de Marea, I Sasase & NV Khang (eds), The Third International Conference on Communications and Electronics (ICCE 2010). IEEE, USA, pp. 147-152, ICCE 2010: The Third International Conference on Communications and Electronics, Nha Trang, Viet Nam, 11/08/10. https://doi.org/10.1109/ICCE.2010.5670700

Automatic classification of speaker characteristics. / Nguyen, Phuoc; Tran, Dat; Huang, Xu; Sharma, Dharmendra.

The Third International Conference on Communications and Electronics (ICCE 2010). ed. / Roberto de Marea; Iwao Sasase; Nguyen Van Khang. USA : IEEE, 2010. p. 147-152.

Research output: A Conference proceeding or a Chapter in BookConference contribution

TY - GEN

T1 - Automatic classification of speaker characteristics

AU - Nguyen, Phuoc

AU - Tran, Dat

AU - Huang, Xu

AU - Sharma, Dharmendra

PY - 2010

Y1 - 2010

N2 - An automatic voice-based classification system of speaker characteristics including age, gender and accent is presented in this paper. Speakers are grouped according to their characteristics and their speech features are then extracted to train speaker group models using different classification techniques. Finally fusion of classification results for those speaker groups is performed to obtain results for each speaker characteristic. The ANDOSL Australian speech database consisting of 108 speakers and 21600 long utterances was used for system evaluation. Experiments showed high performance for the proposed classification of speaker characteristics.

AB - An automatic voice-based classification system of speaker characteristics including age, gender and accent is presented in this paper. Speakers are grouped according to their characteristics and their speech features are then extracted to train speaker group models using different classification techniques. Finally fusion of classification results for those speaker groups is performed to obtain results for each speaker characteristic. The ANDOSL Australian speech database consisting of 108 speakers and 21600 long utterances was used for system evaluation. Experiments showed high performance for the proposed classification of speaker characteristics.

U2 - 10.1109/ICCE.2010.5670700

DO - 10.1109/ICCE.2010.5670700

M3 - Conference contribution

SN - 9781424470570

SP - 147

EP - 152

BT - The Third International Conference on Communications and Electronics (ICCE 2010)

A2 - de Marea, Roberto

A2 - Sasase, Iwao

A2 - Khang, Nguyen Van

PB - IEEE

CY - USA

ER -

Nguyen P, Tran D, Huang X, Sharma D. Automatic classification of speaker characteristics. In de Marea R, Sasase I, Khang NV, editors, The Third International Conference on Communications and Electronics (ICCE 2010). USA: IEEE. 2010. p. 147-152 https://doi.org/10.1109/ICCE.2010.5670700