In this paper we compare speaker clustering and speech recognition techniques to the problem of understanding patterns of air traffic control communications. For a given radio transmission, our goal is to identify the talker and to whom he/she is speaking. This information, in combination with knowledge of the the roles (i.e. takeoff, approach, hand-off, taxi, etc.) of different radio frequencies within an air traffic control region could allow tracking of pilots through various stages of flight, thus providing the potential to monitor the airspace in great detail. Both techniques must contend with degraded audio channels and significant non-native accents.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Comparison of Speaker Clustering and Speech Recognition Techniques for Air Situational Awareness


    Contributors:
    W. Shen (author) / D. Reynolds (author)

    Publication date :

    2015


    Size :

    4 pages


    Type of media :

    Report


    Type of material :

    No indication


    Language :

    English




    TECHNIQUES FOR PROVIDING SITUATIONAL AWARENESS

    BOYD JOSH / PAYNE TYE / SANDERS MICHAEL J | European Patent Office | 2025

    Free access

    Situational awareness

    Salas, Eduardo ;Dietz, Aaron S. | TIBKAT | 2011


    Situational awareness

    Salas, Eduardo ;Dietz, Aaron S. | SLUB | 2011


    Situational Awareness Trainer

    MOORE RUDY | European Patent Office | 2021

    Free access

    Vessel situational awareness

    DAVID MCKNIGHT | European Patent Office | 2024

    Free access