Simulating spontaneous speech: application to forensic voice comparison

Yuko Kinoshita, Michael Norris

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

    Abstract

    We investigated the feasibility of improving the reliability of LR calculations by creating a simulated background population. Using spontaneous speech and carefully read-out speech from 18 male speakers of Australian English in the ANDOSL database, we modelled the characteristics of the two speech styles and applied the model to Bernard’s formant data to simulate spontaneous speech data from it. We calculated two sets of LRs using two different background populations: Bernard’s original data, and the simulated spontaneous speech data. The simulated spontaneous speech data did not perform better in the classification of speaker pairs, but did improve the calibration of the LRs significantly.
    Original languageEnglish
    Title of host publicationProceedings of the 13th Australasian International Conference on Speech Science and Technology
    Place of PublicationMelbourne, Australia
    PublisherAustralian Speech Science and Technology Association (ASSTA)
    Pages26-29
    Number of pages4
    ISBN (Print)9780958194631
    Publication statusPublished - 2010
    EventSST 2010: Thirteenth Australasian International Conference on Speech Science and Technology 2010 - Melbourne, Australia
    Duration: 14 Dec 201016 Dec 2010

    Conference

    ConferenceSST 2010: Thirteenth Australasian International Conference on Speech Science and Technology 2010
    CountryAustralia
    CityMelbourne
    Period14/12/1016/12/10

    Fingerprint

    speech
    comparison
    calibration
    calculation

    Cite this

    Kinoshita, Y., & Norris, M. (2010). Simulating spontaneous speech: application to forensic voice comparison. In Proceedings of the 13th Australasian International Conference on Speech Science and Technology (pp. 26-29). Melbourne, Australia: Australian Speech Science and Technology Association (ASSTA).
    Kinoshita, Yuko ; Norris, Michael. / Simulating spontaneous speech: application to forensic voice comparison. Proceedings of the 13th Australasian International Conference on Speech Science and Technology. Melbourne, Australia : Australian Speech Science and Technology Association (ASSTA), 2010. pp. 26-29
    @inproceedings{c15eb28117af4238a35b5e1d0b7a37e7,
    title = "Simulating spontaneous speech: application to forensic voice comparison",
    abstract = "We investigated the feasibility of improving the reliability of LR calculations by creating a simulated background population. Using spontaneous speech and carefully read-out speech from 18 male speakers of Australian English in the ANDOSL database, we modelled the characteristics of the two speech styles and applied the model to Bernard’s formant data to simulate spontaneous speech data from it. We calculated two sets of LRs using two different background populations: Bernard’s original data, and the simulated spontaneous speech data. The simulated spontaneous speech data did not perform better in the classification of speaker pairs, but did improve the calibration of the LRs significantly.",
    author = "Yuko Kinoshita and Michael Norris",
    year = "2010",
    language = "English",
    isbn = "9780958194631",
    pages = "26--29",
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    publisher = "Australian Speech Science and Technology Association (ASSTA)",

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    Kinoshita, Y & Norris, M 2010, Simulating spontaneous speech: application to forensic voice comparison. in Proceedings of the 13th Australasian International Conference on Speech Science and Technology. Australian Speech Science and Technology Association (ASSTA), Melbourne, Australia, pp. 26-29, SST 2010: Thirteenth Australasian International Conference on Speech Science and Technology 2010, Melbourne, Australia, 14/12/10.

    Simulating spontaneous speech: application to forensic voice comparison. / Kinoshita, Yuko; Norris, Michael.

    Proceedings of the 13th Australasian International Conference on Speech Science and Technology. Melbourne, Australia : Australian Speech Science and Technology Association (ASSTA), 2010. p. 26-29.

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

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    AU - Norris, Michael

    PY - 2010

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    N2 - We investigated the feasibility of improving the reliability of LR calculations by creating a simulated background population. Using spontaneous speech and carefully read-out speech from 18 male speakers of Australian English in the ANDOSL database, we modelled the characteristics of the two speech styles and applied the model to Bernard’s formant data to simulate spontaneous speech data from it. We calculated two sets of LRs using two different background populations: Bernard’s original data, and the simulated spontaneous speech data. The simulated spontaneous speech data did not perform better in the classification of speaker pairs, but did improve the calibration of the LRs significantly.

    AB - We investigated the feasibility of improving the reliability of LR calculations by creating a simulated background population. Using spontaneous speech and carefully read-out speech from 18 male speakers of Australian English in the ANDOSL database, we modelled the characteristics of the two speech styles and applied the model to Bernard’s formant data to simulate spontaneous speech data from it. We calculated two sets of LRs using two different background populations: Bernard’s original data, and the simulated spontaneous speech data. The simulated spontaneous speech data did not perform better in the classification of speaker pairs, but did improve the calibration of the LRs significantly.

    M3 - Conference contribution

    SN - 9780958194631

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    EP - 29

    BT - Proceedings of the 13th Australasian International Conference on Speech Science and Technology

    PB - Australian Speech Science and Technology Association (ASSTA)

    CY - Melbourne, Australia

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    Kinoshita Y, Norris M. Simulating spontaneous speech: application to forensic voice comparison. In Proceedings of the 13th Australasian International Conference on Speech Science and Technology. Melbourne, Australia: Australian Speech Science and Technology Association (ASSTA). 2010. p. 26-29