Audio head pose estimation using the direct to reverberant speech ratio

Mark Barnard, Wenwu Wang, Josef Kittler

    Research output: Contribution to conferencePaperpeer-review

    Abstract

    Head pose is an important cue in many applications such as, speech recognition and face recognition. Most approaches to head pose estimation to date have used visual information to model and recognise a subject's head in different configurations. These approaches have a number of limitations such as, inability to cope with occlusions, changes in the appearance of the head, and low resolution images. We present here a novel method for determining coarse head pose orientation purely from audio information, exploiting the direct to reverberant speech energy ratio (DRR) within a highly reverberant meeting room environment. Our hypothesis is that a speaker facing towards a microphone will have a higher DRR and a speaker facing away from the microphone will have a lower DRR. This hypothesis is confirmed by experiments conducted on the publicly available AV16.3 database. © 2013 IEEE.
    Original languageEnglish
    DOIs
    Publication statusPublished - May 2013
    Event38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) - Vancouver, Canada
    Duration: 26 May 201331 May 2013

    Conference

    Conference38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
    Period26/05/1331/05/13

    Bibliographical note

    Note: Published in: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. Piscataway, NJ : Institute of Electrical and Electronics Engineers. pp. 8056-8060. ISSN (print) 1520-6149 ISSN (online) 2379-190X ISBN 9781479903566

    Keywords

    • Computer science and informatics

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    • Audio head pose estimation using the direct to reverberant speech ratio

      Barnard, M., Wang, W. & Kittler, J., May 2013, Published in: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. Piscataway, NJ : Institute of Electrical and Electronics Engineers. pp. 8056-8060. ISSN (print) 1520-6149 ISSN (online) 2379-190X ISBN 9781479903566.

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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