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    Multi-speaker separation employing microphone array and vertex finding algorithm

    Access Status
    Fulltext not available
    Authors
    Hong Dam, H.
    Nordholm, Sven
    Date
    2018
    Type
    Conference Paper
    
    Metadata
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    Citation
    Hong Dam, H. and Nordholm, S. 2018. Multi-speaker separation employing microphone array and vertex finding algorithm, pp. 306-310.
    Source Title
    16th International Workshop on Acoustic Signal Enhancement, IWAENC 2018 - Proceedings
    DOI
    10.1109/IWAENC.2018.8521373
    ISBN
    9781538681510
    School
    School of Electrical Engineering, Computing and Mathematical Science (EECMS)
    URI
    http://hdl.handle.net/20.500.11937/74645
    Collection
    • Curtin Research Publications
    Abstract

    © 2018 IEEE. This paper proposes a new speaker detection and signal separation algorithm for multiple speakers using microphone array data recorded in a room environment. The algorithm utilizes the fact that in multi-speaker conversations not all speakers are speaking simultaneously there are time segments when only a single speaker is active. Based on that observation a speech activity detector for each speaker (MVAD) has been developed. It is based on SRP-PHAT estimates for different blocks of data. We have shown that these estimates form vertexes in a convex polygon which can be employed to obtain MVAD detections. Those detections are then used to form Minimum Variance Distortionless Response (MVDR) beamformers. Evaluations based on real recorded speech data with 4 speakers show that the algorithm provides good interference suppression and low speech distortion for this difficult scenario.

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