Significance of Vocoders in Mobile Communication
R. Chinna Rao1, D. Elizabath Rani2, S. Srinivasa Rao3

1R. Chinna Rao, Assistant Professor, Department of ECE, MRCET, Secunderabad (Telangana), India.

2Dr. D. Elizabath Rani, Professor, Department of EIE, GITAM University, Visakhapatnam (Andhra Pradesh), India.

3Dr. S. Srinivasa Rao, Professor, Department of ECE, MRCET, Secunderabad (Telangana), India.

Manuscript received on 22 November 2019 | Revised Manuscript received on 10 December 2019 | Manuscript Published on 30 December 2019 | PP: 72-76 | Volume-9 Issue-2S3 December 2019 | Retrieval Number: B10181292S319/2019©BEIESP | DOI: 10.35940/ijitee.B1018.1292S319

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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: Signal Processing finds its applications in many fields of engineering like Communications, Multimedia processing like audio, speech, video compression. It is the constant endeavor in compression techniques to retain highest quality of media through lowest bits so that communication band width utilization can be maximized. The most basic form of end user communication in the mobile industry has been voice calls. Speech signals captured at the microphone are sampled at 8 or 16 KHz and using 16 bits per sample presents 128 KHz of information. Transmitting all of it is very inefficient usage of the communication channel. There are multiple ways to encode the speech input at lower bit rates using Source Coding and Waveform coding techniques. This paper is scoped to practically simulate some of the basic and advanced signal processing concepts and apply them to the speech signal processing domain to minimize the vocoders packet exchange bit rate. Existing techniques are studied and a new schema is proposed which reduce the vocoders packet exchange bit rate further.

Keywords: Formant, Larynx, Vocal Tract, Phonology, Velum, Liner Predictive Coding.
Scope of the Article: Mobile Computing and Applications