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Dereverberation Using LPC-based Approaches

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Speech Dereverberation

Part of the book series: Signals and Commmunication Technology ((SCT))

Abstract

A class of reverberant speech enhancement techniques involve processing of the linear prediction residual signal following Linear Predictive Coding (LPC). These approaches are based on the assumption that reverberation is mainly confined to the prediction residual and affects the LPC coefficients to a lesser extent. This chapter begins with a study on the effects of reverberation on the LPC parameters where mathematical tools from statistical room acoustics are used in the analysis. Consequently, a general framework for dereverberation using LPC is formulated and several existing methods utilizing this approach are reviewed. Finally, a specific method for processing a reverberant prediction residual is presented in detail. This method uses a combination of spatial averaging and larynx cycle-based temporal averaging. Experiments with a microphone array in a small office demonstrate the dereverberation and noise suppression of the spatiotemporal averaging method, showing up to a 5 dB improvement in segmental SRR and 0.33 in the normalized Bark spectral distortion score.

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Authors and Affiliations

  1. Imperial College London, London, UK

    Nikolay D. Gaubitch, Mark R. P. Thomas & Patrick A. Naylor

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  1. Nikolay D. Gaubitch
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  2. Mark R. P. Thomas
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  3. Patrick A. Naylor
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  1. Department of Electrical and Electronic Engineering, Imperial College London, Exhibition Road, SW7 2AZ, London, UK

    Patrick A. Naylor  & Nikolay D. Gaubitch  & 

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Gaubitch, N., Thomas, M., Naylor, P. (2010). Dereverberation Using LPC-based Approaches. In: Naylor, P., Gaubitch, N. (eds) Speech Dereverberation. Signals and Commmunication Technology. Springer, London. https://doi.org/10.1007/978-1-84996-056-4_4

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  • DOI: https://doi.org/10.1007/978-1-84996-056-4_4

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84996-055-7

  • Online ISBN: 978-1-84996-056-4

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