Research on Speech Codec with Compression using Legendre Polynomials 
Arun Ananthanarayanan1, S.Ananthi2, K. Padmanabhan3, Bhagwan Shree Ram4
1Dr. Arun Ananthanarayanan, Department of ECE, MVJ College of Engineering, Bengaluru (Karnataka), India.
2Dr. S. Ananthi, Department of ECE, MVJ College of Engineering, Bengaluru (Karnataka), India.
3Dr. K. Padmanabhan, AC College of Engineering Chennai (Tamil Nadu), India.
4Dr. Bhagwan Shree Ram, Power System Domain, SEEE, LPU Phagwara, Jalandhar (Punjab), India.
Manuscript received on 25 August 2019 | Revised Manuscript received on 01 September 2019 | Manuscript Published on 14 September 2019 | PP: 278-284 | Volume-8 Issue-5S3, July 2019 | Retrieval Number: E10610785S319/19©BEIESP | DOI: 10.35940/ijeat.E1061.0785S319
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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: Speech Codecs have been developed in several forms over the past 30 years and are used in Cellular digital telephony. Based on the throat excitation pulses and mouth cavity filter model, all the methods aim to encode the speech samples without much loss of clarity. The complexity of the methods using codebook searching, filtering and matrix inversion, all need heavy computations, leading to timing constraints. After describing a tutorial elucidating the essentials of the present methods, a different direct method of encoding, suggested by the spherical harmonic oscillator functions of Legendre, is introduced. Its performance and simplicity are such that the same may find its applications soon.
Keywords: Speech Processing, Legendre Polynomial, Audio Codecs, CELP, LPC, Speech Compression.
Scope of the Article: Signal and Speech Processing