AN EFFECTIVE QUALITY SPEECH ENHANCEMENT USING PARTICLE FILTERS

Abstract

Speech Enhancement aims to improve speech quality. The objective of enhancement is improvement in intelligibility and overall perceptual quality of degraded speech signal using audio signal processing techniques. The central methods for enhancing speech are the removal of background noise and echo suppression In this paper we use particle filters (PFs) for noise reduction on essentially linear speech production models, and the mounting evidence that the introduction of nonlinearities can lead to a refined speech model. This paper presents a study of PF solutions to the problem of speech enhancement in the context of nonlinear, neural-type speech models. It also decreases the computational cost by allowing us to use less particles. The simulation is done using MATLAB and the performance of PF for various speech signals are computed.

Authors and Affiliations

Ms. A. Helen Jenifer Archana ,G. Prem Kumar,D. Raja

Keywords

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  • EP ID EP27565
  • DOI -
  • Views 319
  • Downloads 5

How To Cite

Ms. A. Helen Jenifer Archana, G. Prem Kumar, D. Raja (2013). AN EFFECTIVE QUALITY SPEECH ENHANCEMENT USING PARTICLE FILTERS. International Journal of Research in Computer and Communication Technology, 2(4), -. https://europub.co.uk./articles/-A-27565