Speech Signal Noise Reduction by Wavelets
Roopali Goel1, Ritesh Jain2

1Roopali Goel, Department of Computer Science, CET-IILM-AHL, Greater Noida (U.P), India.
2Ritesh Jain, Department of Computer Science, Guru Nanak Dev Polytechnic, (Delhi), India
Manuscript received on 12 March 2013 | Revised Manuscript received on 21 March 2013 | Manuscript Published on 30 March 2013 | PP: 191-193 | Volume-2 Issue-4, March 2013 | Retrieval Number: D0596032413/13©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Speech plays an important role in multimedia system. Speech enhancement is to remove noise from speech for multimedia systems. Noise act as a disturbance in any form of communication which degrades the quality of the information signal. Generally transmission and receiving signals are often corrupted by noise which can cause severe problems for downstream processing and user perception. Therefore an automated removal of noise would be an invaluable first stage for many signal processing tasks. Denoising has long been a focus of research and yet there always remains room for improvement. There are so many ways to improve the signal quality or to regenerate the signal. In this paper we have present a method for speech signal denoising using different wavelets. In this we will demonstrate the usefulness of wavelets to reduce noise in a model system where Gaussian noise is inserted into an audio signal.
Keywords: About Four Key Words or Phrases in Alphabetical Order, Separated By Commas.

Scope of the Article: Soft computing Signal and Speech Processing