Speech compression using LPC and wavelet

• Published in: 2010 2nd International Conference on Computer Engineering and Technology Vol. 7; pp. V7-92 - V7-99
• Main Authors: Osman, M A, Al, Nasser, Magboub, Hussein M, Alfandi, S A
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.04.2010
• Subjects: Application software; CELP; Computer applications; DWT; Ear; Humans; Linear predictive coding; LPC; Mechanical factors; Military communication; Military computing; RELP; Speech; Telephony
• ISBN: 9781424463473; 1424463475
• DOI: 10.1109/ICCET.2010.5485348

The past decade has witnessed substantial progress towards the application of low-rate speech coders to civilian and military communications as well as computer-related voice applications. Central to this progress has been the development of new speech coders capable of producing high-quality speech at low data rates. Most of these coders incorporate mechanisms to represent the spectral properties of speech, provide for speech waveform matching, and optimize the coder's performance for the human ear. A number of these coders have already been adopted in national and international cellular telephony standards. In mobile communication systems, service providers are continuously met with the challenge of accommodating more users within a limited allocated bandwidth. For this reason, manufactures and service providers are continuously in search of low bit-rate speech coders that deliver toll-quality speech. In this paper the simulated low bit rate vocoder (LPC) using MATLAB was implemented. The result obtained from LPC was compared with other implemented voice compression using wavelet transform. From the results we see that the performance of wavelet transform was better than LPC.