Overview
- Provides background on concepts and models of the audio processing and speech recognition systems
- Offers in-depth overview of the classical audio indexing and speech recognition systems
- Reports the challenges regarding an ASR system and provides a discussion on relevant research scopes
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (5 chapters)
Keywords
- Audio Indexing
- Classic Information Retrieval problem
- Large vocabulary continuous speech recognition
- Phonetic search
- Automatic speech recognition
- Hidden Markov Model(HMM)
- Neural network and speech recognition
- Feature extraction
- Linear prediction coding
- Mel frequency Cepstral Coefficient
- Linear prediction Cepstral Coefficient
- Discrete Wavelet Transform (DWT)
- Wavelet Packet Decomposition (WPD)
- Perceptual Linear Prediction (PLP)
- K-nearest neighbors
- Bayesian classifier
- Decision Tree
- Support Vector machines (SVM)
About this book
Describing the chronological developments in ASR systems, and briefly examining the statistical models used in ASR as well as the related mathematical deductions, the book summarizes a number of state-of-the-art classification techniques and their application in audio/speech classification.
By providing insights into various aspects of audio/speech processing and speech recognition, this book appeals a wide audience, from researchers and postgraduate students to those new to the field.
Authors and Affiliations
About the authors
Anjan Dutta was born in Kolkata, India, in 1986. He received his B.Tech degree in Information Technology from West Bengal University of Technology in 2008 and M.Tech in Information Technology in 2011 from Calcutta University.
He served in IXIA Technologies LTD and TATA Consultancy Services Ltd. (TCSL) over 6 years of period. Initially he worked as a protocol developer in IXIA Technologies LTD and worked on 3gpp wireless protocols. Thereafter he worked as an IT Analyst in TATA Consultancy Services Ltd.(TCSL) Form July, 2011 to July, 2017. He is now employed as an Assistant Professor in Department of Information Technology, Techno India College of Technology, India. He is an active researcher in the field of Big Data, Data Mining, Audio processing and Audio classification etc.
Nilanjan Dey was born in Kolkata, India, in 1984. He received his B.Tech. degree in
Information Technology from West Bengal University of Technology in 2005, M.Tech.in Information Technology in 2011 from the same University and Ph.D. in digital image processing in 2015 from Jadavpur University, India.
In 2011, he was appointed as an Assistant Professor in the Department of Information Technology at JIS College of Engineering, Kalyani, India followed by Bengal College of Engineering College, Durgapur, India in 2014. He is now employed as an Assistant Professor in Department of Information Technology, Techno India College of Technology, India. He is a visiting fellow of the University of Reading, UK. His research topic is signal processing, machine learning and information security.
Dr. Dey is an Associate Editor of IEEE ACCESS and is currently the Editor in-Chief of the International Journal of Ambient Computing and Intelligence. Series Co-editor of Advances in Ubiquitous Sensing Applications for Healthcare (AUSAH), Elsevier and Springer Tracts in Nature-Inspired Computing (STNIC).
Bibliographic Information
Book Title: Audio Processing and Speech Recognition
Book Subtitle: Concepts, Techniques and Research Overviews
Authors: Soumya Sen, Anjan Dutta, Nilanjan Dey
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-981-13-6098-5
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2019
Softcover ISBN: 978-981-13-6097-8Published: 20 February 2019
eBook ISBN: 978-981-13-6098-5Published: 30 January 2019
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: XIV, 96
Number of Illustrations: 38 b/w illustrations, 3 illustrations in colour
Topics: Signal, Image and Speech Processing, User Interfaces and Human Computer Interaction, Input/Output and Data Communications