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Quantization & Speech Coding for Wireless Communication

7 pagesPublished: August 5, 2017

Abstract

Quantization is basically the method of mapping a big set of input values to a smaller set, widely utilized in almost all the digital signal processing as it represents the signal in digital form. Aspect of data compression or coding is to shrink the number of bits necessary to deliver analog data, dependent on a distortion or fidelity conditions. In a wired communications very large bandwidth (range of frequency) are obtainable due to enormous bandwidth availability of optical fiber cables, while in a wireless communications range of frequency spectrum availability is a significant matters and service provider are continuously in penetrating of coder for obliging more consumers within a limited allocated spectrum. To achieve high speech quality at a lower bit rate coding algorithms plays a vital role to remove irrelevant information (redundancy) from speech signal. Good-looking progress have been made during last decades in code the speech signal with high quality at low bit rate for next generation wireless communication. This 1paper provides the fundamentals of scalar & vector quantizers applied for analysis and synthesis of speech signal. This paper also includes the review regarding the various types of coders utilized in next generation wireless communication as well as current capability in research direction in speech coding techniques.

Keyphrases: centroid, Codebook, Euclidean distance, Mean Opinion Score, Scalar Quantization, Vector Quantization

In: Ajitkumar Shukla, J. M. Patel, P. D. Solanki, K. B. Judal, R. K. Shukla, R. A. Thakkar, N. P. Gajjar, N. J. Kothari, Sukanta Saha, S. K. Joshi, Sanjay R. Joshi, Pranav Darji, Sanjay Dambhare, Bhupendra R. Parekh, P. M. George, Amit M. Trivedi, T. D. Pawar, Mehul B. Shah, Vinay J. Patel, Mehfuza S. Holia, Rashesh P. Mehta, Jagdish M. Rathod, Bhargav C. Goradiya and Dharita K. Patel (editors). ICRISET2017. International Conference on Research and Innovations in Science, Engineering and Technology. Selected Papers in Engineering, vol 1, pages 19--25

Links:
BibTeX entry
@inproceedings{ICRISET2017:Quantization_Speech_Coding,
  author    = {Rajnikant Rathod and Mehfuza Holia},
  title     = {Quantization \textbackslash{}\& Speech Coding for Wireless Communication},
  booktitle = {ICRISET2017. International Conference on Research and Innovations in  Science, Engineering and Technology. Selected Papers in Engineering},
  editor    = {Ajitkumar Shukla and J. M. Patel and P. D. Solanki and K. B. Judal and R. K. Shukla and R. A. Thakkar and N. P. Gajjar and N. J. Kothari and Sukanta Saha and S. K. Joshi and Sanjay R. Joshi and Pranav Darji and Sanjay Dambhare and Bhupendra R. Parekh and P. M. George and Amit M. Trivedi and T. D. Pawar and Mehul B. Shah and Vinay J. Patel and Mehfuza S. Holia and Rashesh P. Mehta and Jagdish M. Rathod and Bhargav C. Goradiya and Dharita K. Patel},
  series    = {Kalpa Publications in Engineering},
  volume    = {1},
  pages     = {19--25},
  year      = {2017},
  publisher = {EasyChair},
  bibsource = {EasyChair, http://www.easychair.org},
  issn      = {2515-1770},
  url       = {https://easychair.org/publications/paper/vkp},
  doi       = {10.29007/h3kn}}
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