Transform Based Speech Enhancement for Auditory Signals Based on Iterative Weiner Filtering
V.R. Balaji1, M. Karpagam2, J. Sathiya Priya3
1V.R. Balaji, Associate Professor, Department of Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, (Tamil Nadu), India.
2M. Karpagam, Professor, Department of Electronics and Communication Engineering, Sri Krishna College of Engineering and Technology, Coimbatore, (Tamil Nadu), India
3J. Sathiya Priya, J. Sathiya Priya was Earlier Working as an Assistant Professor in the Department of Electronics and Communication Engineering. Coimbatore, (Tamil Nadu), India
Manuscript received on 04 March 2019 | Revised Manuscript received on 09 March 2019 | Manuscript published on 30 July 2019 | PP: 4708-4712 | Volume-8 Issue-2, July 2019 | Retrieval Number: B3528078219/19©BEIESP | DOI: 10.35940/ijrte.B3528.078219
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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: One of the important features of Speech processing is speech enhancement. In a noisy environment, speech enhancement plays a vital role. Many research works are being done in speech enhancement methods in recent years but still, it can’t be attained. It mainly depends on Speech intelligibility which can improve the speech quality. In this research work, signal representation is considered and the various transforms are applied and compared. The analysis is done with the help of two parameters and the results are compared. Here the enhancement process is focused on using Advanced DCT (ADCT) and Discrete fractional Cosine transform. The ADCT has the advantage of energy compaction and flexible window switching. Iterative Wiener Filtering is used for filtering the coefficients. Pitch Synchronous Analysis (PSA) is combined for finding the exact pitch period.
Index terms: Advanced Discrete Cosine Transform, Discrete Fractional Cosine Transform, Iterative Wiener Filtering, Pitch Synchronous Analysis
Scope of the Article: Advanced Bioinformatics