The paper presents a real-time speaker identification system based on the analysis of the audio track of a video stream. The system has been employed in the context of automatic video segmentation. It uses features evaluated in both the time and frequency domains. Their combined use significantly improve the performance of the system. Experiments have been carried on a database extracted from over one hour of television news, including 10 speakers. The obtained results confirm the effectiveness of the approach, showing an error rate less then 1% when the time interval used for identifying a speaker is about 1.5 seconds.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A real-time text-independent speaker identification system


    Beteiligte:
    Cordella, L.P. (Autor:in) / Foggia, P. (Autor:in) / Sansone, C. (Autor:in) / Vento, M. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    368004 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    A Real-Time Text-Independent Speaker Identification System

    Cordella, L. / Foggia, P. / Sansone, C. et al. | British Library Conference Proceedings | 2003


    Confidence Analysis for Text-Independent Speaker Identification: Inspecting the Effect of Population Size

    Ong, S. / Moody, M. P. / Sridharan, S. et al. | British Library Conference Proceedings | 1994




    Mathematical Analysis and Speaker-Independent Speech Recognition

    Gur'yanov, A. E. | British Library Online Contents | 1996