Adaptive Filtering and Voice Compression Using Neural Networks
Kalyan Chatterjee1, Mandavi2, Prasannjit3, Nilotpal Mrinal4, Vikash Kumar Saw5, Kumari Rupmala6, Priyadarshani7
1Mandavi, Information Technology, Bengal College of Engineering and Technology, Durgapur, India.
2Kalyan Chatterjee, Computer Science Engineering, Bengal College of Engineering And Technology, Durgapur, India.
3Prasannjit, Information Technology, Bengal College of Engineering and Technology, Durgapur, India.
4Nilotpal Mrinal, Information Technology, Bengal College of Engineering and Technology, Durgapur, India.
5Kumari Rupmala, Computer Science Engineering, Bengal College of Engineering And Technology, Durgapur, India.
6Vikash Kumar Saw, Computer Science Engineering, Bengal College of Engineering And Technology, Durgapur, India.
7Priyadarshani, Computer Science Engineering, Bengal College of Engineering And Technology, Durgapur, India.
Manuscript received on April 03, 2013. | Revised Manuscript received on April 29, 2013. | Manuscript published on May 05, 2013. | PP: 409-411 | Volume-3, Issue-2, May 2013. | Retrieval Number: B1561053213/2013©BEIESP
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© The Authors. Published By: 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: Voice data compression is about a process which reduces the data rate or file size of digital audio signals. This process reduces the dynamic range without changing the amount of digital data of audio signals. Voice compression is one of the leading vicinity of digital signal processing that spotlight on dipping the bit rate of speech signals for transmission and storage devoid of considerable loss of quality. This paper attempts to present an adaptive filtering technique for the removal of useless noise from the audio signals. After the noise removal has been done, the filtered audio signal is taken as the input to the neural network. Finally, the back propagation algorithm is applied for the compression of the audio signals.
Keywords: Adaptive Filtering, Audio signals, Back propagation algorithm, Neural Network, Recursive Least Square Algorithm (RLC).