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    Air traffic control speech recognition system cross-task & speaker adaptation

    TítuloAir traffic control speech recognition system cross-task & speaker adaptation
    Tipo de publicaciónJournal Article
    Año de publicación2006
    AutoresCordoba, R, Ferreiros, J, San-Segundo, R, Macias-Guarasa, J, Montero, JM, Fernandez, F, D'Haro, LF, Pardo, JM
    Idioma de publicaciónEnglish
    Revista académicaIEEE Aerospace and Electronic Systems Magazine
    Volumen21
    Número9
    Páginas12-17
    Fecha de publicación09/2006
    Lugar de publicaciónEstados Unidos
    EditorialIEEE
    Rank in category14/24
    JCR CategoryENGINEERING, AEROSPACE
    JCR Impact Factor0.423
    ISSN0885-8985
    DOI10.1109/MAES.2006.1705165
    Resumen

    We present an overview of the most comon techniques used in automatic speech recognition to adapt a general system to a different environment (known as cross-task adaptation) such as in air traffic control systems (ATC). The conditions present in ATC are very specific: very spontaneous, the presence of noise, and high speech speech. So, with a typical speech recognizer, the recognition results are unsatisfactory. We have to decide on the best option for the modeling: to develop acoustic models specific to those conditions from scratch using the data available for the new envirnoment, or to carry out cross-task adaptation starting from reliable  HMM models (usually requiring less data in the target domain).

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    PublicadoDefinitivo-01705165.pdf352.7 KB

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