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  • Kalman filter with phase spectrum compensation algorithm for speech enhancement

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    Author(s)
    So, Stephen
    Wojcicki, Kamil K
    Lyons, James G
    Stark, Anthony P
    Paliwal, Kuldip K
    Griffith University Author(s)
    Paliwal, Kuldip K.
    So, Stephen
    Year published
    2009
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    Abstract
    In this paper, we propose to combine the Kalman filter with a recent speech enhancement technique, called the phase spectrum compensation procedure, or PSC. More specifically, we apply the PSC technique to initialise the Kalman filter, whereby PSC is used to clean the noisy speech prior to LPC estimation for the Kalman recursion. We refer to the combined technique as the Kalman-PSC filter. Using an objective speech quality measure, formal subjective listening tests and spectrogram analysis, we show that the proposed method results in improved speech quality.In this paper, we propose to combine the Kalman filter with a recent speech enhancement technique, called the phase spectrum compensation procedure, or PSC. More specifically, we apply the PSC technique to initialise the Kalman filter, whereby PSC is used to clean the noisy speech prior to LPC estimation for the Kalman recursion. We refer to the combined technique as the Kalman-PSC filter. Using an objective speech quality measure, formal subjective listening tests and spectrogram analysis, we show that the proposed method results in improved speech quality.
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    Conference Title
    2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS
    Publisher URI
    https://ieeexplore.ieee.org/document/4960606
    DOI
    https://doi.org/10.1109/ICASSP.2009.4960606
    Copyright Statement
    © 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    Subject
    Signal processing
    Publication URI
    http://hdl.handle.net/10072/26162
    Collection
    • Conference outputs

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