Recent advances in speech technologies have produced new tools that can be used to improve the performance and flexibility of speaker recognition. While there are few degrees of freedom or alternative methods when using fingerprint or iris identification techniques, speech offers much more flexibility and different levels to perform recognition: the system can force the user to speak in a particular manner, different for each attempt to enter. Also, with voice input, the system has other degrees of freedom, such as the use of knowledge/codes that only the user knows, or dialectical/semantical traits that are difficult to forge. This paper offers an overview of the state-of-the-art in speaker recognition, with special emphasis on the pros and cons, and the current research lines. The current research lines include improved classification systems, and the use of high level information by means of probabilistic grammars. In conclusion, speaker recognition is far away from being a technology where all the possibilities have already been explored.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    State-of-the-art in speaker recognition


    Contributors:


    Publication date :

    2005-05-01


    Size :

    1075613 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Speaker Recognition

    Gonzalez-Rodriguez, J. | Online Contents | 2007


    State-of-the-Art in Speaker Recognition

    Faundez-Zanuy, M. | Online Contents | 2005


    Articles - Automatic Speaker Recognition Variability

    Ortega-Garcia | Online Contents | 2000


    Speaker Recognition in Adverse Conditions

    Iyer, Ananth N. / Ofoegbu, Uchechukwu O. / Yantorno, Robert E. et al. | IEEE | 2007


    Speaker recognition using vocal source model

    Sorokin, V. N. / Tananykin, A. A. / Trunov, V. G. | British Library Online Contents | 2014