Abstract
Speech compression is a widely scoped field with multiple possibilities in the fields of digital communication and transmission of data. It is of particular importance in digital signal processing. There are many commercially available methods both in time and frequency domains to aid the same. Speech file has multiple frequent redundancies present in the raw data. Taking into account the possibility that the frequencies present can be effectively encoded without appreciable change in speech quality, this paper goes on to describe an efficient and new approach with a satisfactory compression ratio and PSNR value for a sampling rate.
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Acknowledgements
We would like to thank Professor Subarna Bhattacharjee for her words of advice, supporting suggestions. Her criticisms, encouragement, and reviews presented to us gave better and more transparent approach and understanding. We owe a lot to the other faculty members of the department of computer science and information technology. It was in one such class of design and analysis of algorithms that we first envisioned the above algorithm. All reviews and comments paid us a dividend to ensure that the final work came into shape.
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Hore, A., Jain, P., Chakraborty, D. (2019). An Efficient Speech Compression Technique in Time Domain with Nearly Constant Compression. In: Saini, H., Singh, R., Patel, V., Santhi, K., Ranganayakulu, S. (eds) Innovations in Electronics and Communication Engineering. Lecture Notes in Networks and Systems, vol 33. Springer, Singapore. https://doi.org/10.1007/978-981-10-8204-7_2
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DOI: https://doi.org/10.1007/978-981-10-8204-7_2
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