Ultra Low Bit-Rate Speech Coding

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Springer, Oct 24, 2014 - Technology & Engineering - 152 pages
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"Ultra Low Bit-Rate Speech Coding" focuses on the specialized topic of speech coding at very low bit-rates of 1 Kbits/sec and less, particularly at the lower ends of this range, down to 100 bps. The authors set forth the fundamental results and trends that form the basis for such ultra low bit-rates to be viable and provide a comprehensive overview of various techniques and systems in literature to date, with particular attention to their work in the paradigm of unit-selection based segment quantization.

The book is for research students, academic faculty and researchers, and industry practitioners in the areas of speech processing and speech coding.

 

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Contents

Introduction
1
Ultra Low BitRate Coders
27
Unit Selection Framework
78
Unified and Optimal UnitSelection Framework
91
Optimality and Complexity Considerations
109
No Residual Transmission Joint SpectralResidual Quantization
124
References
145
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About the author (2014)

Prof. V. Ramasubramanian obtained his Ph.D. degree from Tata Institute of Fundamental Research (TIFR), Bombay in 1992. He is presently a Professor in PES Institute of Technology – South Campus, Bangalore. He has been engaged in research in speech processing and related areas since 1984. Prior to the current professorship, he has worked in various institutions and universities, such as TIFR, Bombay (1984-99) as Research Scholar, Fellow and Reader; University of Valencia, Spain as Visiting Scientist (1991-92); Advanced Telecommunications Research (ATR) Laboratories, Kyoto, Japan as Invited Researcher (1996-97); Indian Institute of Science (IISc), Bangalore as Research Associate (2000-04) and Siemens Corporate Research & Technology (2005-13) as Senior Member Technical Staff and as Head of Professional Speech Processing - India (2006-09). His research interests include speech recognition, speaker recognition, speech coding, speech synthesis, speech enhancement, language identification, audio analytics and machine learning. He has over 50 research publications in these areas in international journals and conferences. He is inventor / co-inventor of 14 patents filed in India, Europe and USA.

Harish Doddala is a Product Manager at Oracle focusing on Platform strategy as applied to the Internet of Things. Prior to joining Oracle, Harish held positions at IBM Research and Siemens Corporate Technology in areas spanning Signal Processing, Machine Learning, Speech and Audio Processing and Analytics and Visualization of large data-sets. In these roles, he applied his expertise to areas such as low bandwidth and secure communication systems, biometrics, speech tools for education & learning and customer service improvement. Harish is a Fellow at Massachusetts Institute of Technology, System Design and Management and has published in international speech and audio conferences.