Investigation of Transform Dependency in Speech Enhancement
Rohini R. Mergu1, Shantanu K. Dixit2
1Mrs. Rohini R. Mergu, Assistant Professor, WIT, Solapur (Maharashtra), India.
2Dr. Shantanu K. Dixit, Professor and Head E&TC WIT, Solapur (Maharashtra), India.
Manuscript received on 21 July 2013 | Revised Manuscript received on 28 July 2013 | Manuscript published on 30 July 2013 | PP: 124-128 | Volume-2 Issue-3, July 2013 | Retrieval Number: C0729072313/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Noise is an unwanted signal. One of the most common type of noise is a background noise which is always present. The paper presents speech enhancement scheme for suppression of background noise. The objective of speech enhancement is to improve the perceptual aspect such as quality and intelligibility of the processed speech. The main objective of this paper is to investigate the use of different transforms for speech enhancement. Speech enhancement using wiener filtering approach is proposed and implemented using DFT, DCT and DWT thus showing the feasibility of utilization of the different transforms.
Keywords: Speech Enhancement, DFTF, DCTF, DWTF, Wiener Filter, Transform
Scope of the Article: Computer Network