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Vocoder (LPC) Analysis by Variation of Input Parameters and Signals

Author Affiliations

  • 1Truba College of Engineering and Technology Indore, INDIA
  • 2Truba College of Engineering and Technology Indore, INDIA
  • 3Truba College of Engineering and Technology Indore, INDIA

Res. J. Engineering Sci., Volume 1, Issue (1), Pages 57-61, July,26 (2012)

Abstract

In this paper we have performed analysis on the quality of processed signals by varying various parameters associated with the Linear Predictive Coder (LPC) vocoder, designed as a project. The aim of the project was to compress (encode) voice signals using a lossy compression technique called LPC and obtain a compression rate up to 95% to utilize channel bandwidth by using less resources. But while performing the analysis this time we have given priority to the quality compromising a little on the efficiency of the process. In this paper we analyze the effect of sampling rate, order of the vocoder and size of the frame on standard male and female voice signal patterns. The LPC vocoder is designed using MATLABŪ.

References

  1. Rabiner L.R. and Schafer R.W.,, Digital Processing of Speech Signals,, Prentice-Hall Englewoods Cliffs, Chapter 3, 38-103, Chapter 5, 172-232, Chapter 8, 396-453 (1978)
  2. Sosnin I.N. and Rajfeld M.A.,, Algorithm of compensation of an acoustic noise for improvement of operation of digital algorithms of a speech coding (vocoders), Electrical and Computer Engineering, 146-149 (2010)
  3. Cao Binshi,, Sub band synthesized LPC vector quantization (SBS-LPC-VQ),, IEEE Workshop, 114-116 (2000)
  4. Harish D. and Ramasubramanian V.,, Comparison of segment quantizers: VQ, MQ, VLSQ and unit-selection algorithms for ultra low bit-rate speech coding,, Acoustics, Speech and Signal Processing, 4773-4776 (2008)
  5. Nascimento F.A.R. and Fraga F.J.,, New methods for improvement of sinusoidal transform vocoders,, ICME
  6. Makinen J., Ojala P. and Toukomaa H.,, Performance comparison of source controlled GSM, AMR and SMV Vocoders,, Intelligent Signal Processing and Communication Systems, 151-154 (2004)
  7. Jurafsky Daniel and James H. Martin,, Speech and language processing,, Prentice Hall (2000)
  8. Yallapragada R. and Kripalani V.,, Increments in voice capacity and impact on voice quality with new vocoders in GSM and CDMA systems,, IEEE International Conference, 100-104 (2002)
  9. Sosnin I.N. and Rajfeld M.A.,, Algorithm of compensation of an acoustic noise for improvement of operation of digital algorithms of a speech coding (vocoders),, Electron Devices and Materials Proceedings, 146- 149 (2003)
  10. Islam M.S., Islam M.N., Alam M.S., Riaz M.A. and Hasan M.T.,, Performance evaluation of various vocoders in mobile ad hoc network (MANET),, Electrical and Computer Engineering, 670-673 (2010)