Automatic Gender Recognition

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

    Abstract

    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
    Pages1-5
    Number of pages5
    ISBN (Print)960-8052-91-2
    Publication statusPublished - 2003
    Event2nd WSEAS International Conference - , Singapore
    Duration: 7 Dec 20039 Dec 2003

    Conference

    Conference2nd WSEAS International Conference
    CountrySingapore
    Period7/12/039/12/03

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