An Analysis on Sparse based Speech Denoising Algorithms

Abstract

—Speech enhancement aims to improve the speech quality and perceptual quality by using various techniques. Themost important part of speech enhancement is to enhance speech degraded by noise, and is useful for many applications. To enhance any speech input its noise components are to be removed using denoising algorithms. In this paper the dictionary learning based speech denoising is compared with other overlap group thresholding and wavelet translation-variant algorithms.Itis observed that the dictionary learning algorithm performed well when compared with other algorithms.

Authors and Affiliations

K. N. H. Srinivas, Dr. I. Santhi Prabha, Dr. M. Venugopala Rao

Keywords

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  • EP ID EP394317
  • DOI 10.9790/9622-0806017477.
  • Views 130
  • Downloads 0

How To Cite

K. N. H. Srinivas, Dr. I. Santhi Prabha, Dr. M. Venugopala Rao (2018). An Analysis on Sparse based Speech Denoising Algorithms. International Journal of engineering Research and Applications, 8(6), 74-77. https://europub.co.uk/articles/-A-394317