Automatic classification of speaker characteristics

Phuoc Nguyen, Dat Tran, Xu Huang, Dharmendra Sharma

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

2 Citations (Scopus)
8 Downloads (Pure)

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

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  • 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). IEEE. https://doi.org/10.1109/ICCE.2010.5670700