SPEECH ENHANCEMENT USING PARTICLE FILTERS:A CRITICAL REVIEW 

Journal Title: Indian Journal of Computer Science and Engineering - Year 2015, Vol 6, Issue 3

Abstract

Speech Enhancement refers to improvement in quality of a degraded speech signal in broad sense, however the aim is not only improvement of intelligibility but also overall quality, widely applied in de-reverberation, voice recognition systems, data matching in investigative fields and recovery of missing information i.e speech reconstruction. This paper presents a literature review of speech enhancement techniques, of all the methods available to us today ,we particularly concentrate on adaptive filtering method, due to successive implementation of Kalman filter in recent years and current research that has been carried on over particle filter this paper reviews the comparisons of the two. It has been observed that particle filters outperforms Kalman filters when it comes to non-linear ,non Gaussian noise removal.though the limitation is number of particle in particle filter.

Authors and Affiliations

Rashi Singh , Agya Mishra

Keywords

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  • EP ID EP100739
  • DOI -
  • Views 145
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How To Cite

Rashi Singh, Agya Mishra (2015). SPEECH ENHANCEMENT USING PARTICLE FILTERS:A CRITICAL REVIEW . Indian Journal of Computer Science and Engineering, 6(3), 83-90. https://europub.co.uk/articles/-A-100739