Speech Enhancement Using DCT
S.C.Shekokar1, M. B. Mali2
1S.C.Shekokar, Sinhgad College of Engineering, Vadgaon(Bk), Off Sinhgad Road Pune, India.
2Prof. M.B. Mali, Department of Electronics and Telecommunication, University of Pune, India.
Manuscript received on May 22, 2013. | Revised Manuscript received on June 17, 2013. | Manuscript published on June 30, 2013. | PP: 98-100 | Volume-2, Issue-5, June 2013. | Retrieval Number: E1714062513/2013©BEIESP
Open Access | Ethics and Policies | Cite
© 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: The speech enhancement problem comprises of various problems characterized by the type of noise source, the nature of interaction between speech and noise, the number of sensor signals (microphone outputs) available for enhancement and the nature of the speech application. Noise reduction remains a demanding problem due to wide variety of background noise types (car noise, babble noise, cockpit noise, train noise, subway noise, etc.) and the difficulty in estimating their statistics. The connection of noise an usually classified as additive/multiplicative/convolution. The additive model very often dominates in real-world applications.
Keywords: Speech enhancement, Speech processing.