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“Articulatory based speech models for blind speech dereverberation using sequential Monte Carlo methods”

IEEEXplore Access: in Proc. European Signal Processing Conf. (EUSIPCO), August 2010 Authors: C. Evers and J. R. Hopgood Abstract: Room reverberation leads to reduced intelligibility of audio signals. Enhancement is thus crucial for high-quality audio and scene analysis applications. This paper proposes to directly and optimally estimate the source signal and acoustic channel from the...

IEEEXplore Access: in Proc. E...

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“Bayesian single channel blind dereverberation of speech form a moving talker”

SpringerLink Access: in Speech Dereverberation, P. A. Naylor and N. D. Gaubitch, Eds. Springer, 2010, ch. 8, pp. 219–268 Authors: J. R. Hopgood, C. Evers , and S. Fortune Abstract: This chapter discusses a model-based framework for single-channel blind dereverberation of speech, in which parametric models are used to represent both the unknown source and...

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“Blind dereverberation of speech from moving and stationary speakers using sequential Monte Carlo methods”

Edinburgh Research Archive Access: Text and Media files Author: Christine Evers Abstract: Speech signals radiated in confined spaces are subject to reverberation due to reflections of surrounding walls and obstacles. Reverberation leads to severe degradation of speech intelligibility and can be prohibitive for applications where speech is digitally recorded, such as audio conferencing or hearing...

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“Marginalization of static observation parameters in a RaoBlackwellized particle filter with application to sequential blind speech dereverberation“

IEEEXplore Access: in Proc. European Signal Processing Conf. (EUSIPCO), Aug. 2009 Authors: C. Evers and J. R. Hopgood Abstract: Enhancement of an unknown signal from distorted observations is an extremely important Engineering problem. In addition to noise, the observation space often contains a degrading filter component. A typical example is blind speech enhancement, where a...

IEEEXplore Access: in Proc. E...

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”Acoustic models for online blind source dereverberation using sequential Monte Carlo methods”

IEEEXplore Access: in Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), March 2008 Authors: C. Evers , J. R. Hopgood, and J. Bell Abstract: Reverberation and noise cause significant deterioration of audio quality and intelligibility to signals recorded in acoustic environments. Noise is usually modeled as a common signal observed in the...

IEEEXplore Access: in Proc. I...

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“Blind speech dereverberation using batch and sequential Monte Carlo methods”

IEEEXplore Access: in Proc. Intl. Symp. on Circuits and Systems (ISCAS), May 2008, pp. 3226–3229 Authors: C. Evers , J. R. Hopgood, and J. Bell Abstract: Reverberation and noise cause significant deterioration of audio quality and intelligibility to signals recorded in acoustic environments. Bayesian dereverberation infers knowledge about the system by exploiting the statistical properties...

IEEEXplore Access: in Proc. I...

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“Parametric modelling for single-channel blind dereverberation of speech from a moving speaker“

IEEEXplore Access: in IET Signal Processing, vol. 2, no. 2, pp. 59–74, June, 2008 Authors: C. Evers and J. R. Hopgood Abstract: Single-channel blind dereverberation for the enhancement of speech acquired in acoustic environments is essential in applications where microphone arrays prove impractical. In many scenarios, the source-sensor geometry is not varying rapidly, but in...

IEEEXplore Access: in IET Sig...

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“Block-based TVAR models for single-channel blind dereverberation of speech from a moving speaker”

IEEEXplore Access: in Proc. IEEE/SP Workshop on Statistical Signal Processing (SSP), August 2007, pp. 274–278 Authors: J. R. Hopgood and C. Evers Abstract: In reverberant environments, a moving speaker yields a dynamically changing source-sensor geometry giving rise to a spatially-varying acoustic impulse response (AIR) between the source and sensor. Consequently, this leads to a time-varying...

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“Bayesian single channel blind speech dereverberation using Monte Carlo methods”

Scitation Access: in The Journal of the Acoustical Society of America, vol. 123, no. 5, pp. 3586–3586, 2007 Authors: J. R. Hopgood, C. Evers , and J. Bell Abstract: Audio signals in confined spaces exhibit reverberation due to reflections off surrounding obstacles. Moreover, the signal is distorted by noise, usually modeled as an additive signal...

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“Towards single-channel blind dereverberation of speech from a moving speaker”

SemanticScholar Access: in IMA Intl. Conf. Math. Sig. Proc., Dec. 2006 Authors: J. R. Hopgood and C. Evers Abstract: An overview of some key issues involved in single-channel blind dereverberation is presented, beginning with a discussion on the nature of time-varying acoustic channels, the problem of long acoustic impulse responses and an introduction to model-based...

SemanticScholar Access: in IM...

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