Automatic Gender Recognition

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review


This paper presents an automatic gender recognition technique based on speaker's voice. Utterances spoken by same-gender speakers were used to train a text-independent hidden Markov gender model. female and male models are continous hidden Markov models. Experiments on the TI-46 database containing 46 words spoken by 8 female and 8 male speakers showed an acceptable recognition rate.
Original languageEnglish
Title of host publicationProceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing (ICECS '03)
EditorsNikos Mastorakis
Place of PublicationSingapore
PublisherWSEAS Transactions
Number of pages5
ISBN (Print)960-8052-91-2
Publication statusPublished - 2003
Event2nd WSEAS International Conference - , Singapore
Duration: 7 Dec 20039 Dec 2003


Conference2nd WSEAS International Conference


Dive into the research topics of 'Automatic Gender Recognition'. Together they form a unique fingerprint.

Cite this