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

    Fingerprint

    Hidden Markov models
    Experiments

    Cite this

    Sharma, D., & Tran, D. (2003). Automatic Gender Recognition. In N. Mastorakis (Ed.), Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing (ICECS '03) (pp. 1-5). Singapore: WSEAS Transactions.
    Sharma, Dharmendra ; Tran, Dat. / Automatic Gender Recognition. Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing (ICECS '03). editor / Nikos Mastorakis. Singapore : WSEAS Transactions, 2003. pp. 1-5
    @inproceedings{2db5acc9ae4e48a88e16a5a732b5bfec,
    title = "Automatic Gender Recognition",
    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.",
    author = "Dharmendra Sharma and Dat Tran",
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    pages = "1--5",
    editor = "Nikos Mastorakis",
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    publisher = "WSEAS Transactions",

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    Sharma, D & Tran, D 2003, Automatic Gender Recognition. in N Mastorakis (ed.), Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing (ICECS '03). WSEAS Transactions, Singapore, pp. 1-5, 2nd WSEAS International Conference, Singapore, 7/12/03.

    Automatic Gender Recognition. / Sharma, Dharmendra; Tran, Dat.

    Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing (ICECS '03). ed. / Nikos Mastorakis. Singapore : WSEAS Transactions, 2003. p. 1-5.

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

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    AU - Tran, Dat

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    AB - 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.

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    Sharma D, Tran D. Automatic Gender Recognition. In Mastorakis N, editor, Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing (ICECS '03). Singapore: WSEAS Transactions. 2003. p. 1-5