Applied Speech Processing
Algorithms and Case Studies
- 1st Edition - January 19, 2021
- Author: Nilanjan Dey
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 2 3 8 9 8 - 1
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 2 4 2 1 3 - 1
Applied Speech Processing: Algorithms and Case Studies is concerned with supporting and enhancing the utilization of speech analytics in several systems and real-world activi… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quote- Includes basics of speech data analysis and management tools with several applications, highlighting recording systems
- Covers different techniques of big data and Internet-of-Things in speech signal processing, including machine learning and data mining
- Offers a multidisciplinary view of current and future challenges in this field, with extensive case studies on the design, implementation, development and management of intelligent systems, neural networks, and related machine learning techniques for speech signal processing
Early career researchers, students, and those learning about a new area for an interdisciplinary project. It will be suitable to those involved in medical imaging, biomedical engineering, medical devices, and related fields
1. Comparative Analysis of Machine Learning Algorithms for Audio Event Classification using Mel Frequency Cepstral Coefficients2. Closed-Set Speaker Identification System based on MFCC and PNCC features Combination with Different Fusion Strategy3. Kurtosis Data Selective Affine Projection Adaptive Filtering Algorithm for Speech Processing Applications4. A novel approach towards phoneme-to-viseme mapping in Malayalam5. Modified Least Mean Square Adaptive Noise Reduction Algorithm for Speech Enhancement6. Recursive noise estimation-based Wiener filtering for monaural speech enhancement7. Unsupervised Speech Enhancement based on Phase Aware Time-Frequency Mask Estimation
- No. of pages: 206
- Language: English
- Edition: 1
- Published: January 19, 2021
- Imprint: Academic Press
- Paperback ISBN: 9780128238981
- eBook ISBN: 9780128242131
ND
Nilanjan Dey
Nilanjan Dey (Senior Member, IEEE) received the B.Tech., M.Tech. in information technology from West Bengal Board of Technical University and Ph.D. degrees in electronics and telecommunication engineering from Jadavpur University, Kolkata, India, in 2005, 2011, and 2015, respectively. Currently, he is Associate Professor with the Techno International New Town, Kolkata and a visiting fellow of the University of Reading, UK. He has authored over 300 research articles in peer-reviewed journals and international conferences and 40 authored books. His research interests include medical imaging and machine learning. Moreover, he actively participates in program and organizing committees for prestigious international conferences, including World Conference on Smart Trends in Systems Security and Sustainability (WorldS4), International Congress on Information and Communication Technology (ICICT), International Conference on Information and Communications Technology for Sustainable Development (ICT4SD) etc.
He is also the Editor-in-Chief of International Journal of Ambient Computing and Intelligence, Associate Editor of IEEE Transactions on Technology and Society and series Co-Editor of Springer Tracts in Nature-Inspired Computing and Data-Intensive Research from Springer Nature and Advances in Ubiquitous Sensing Applications for Healthcare from Elsevier etc. Furthermore, he was an Editorial Board Member Complex & Intelligence Systems, Springer, Applied Soft Computing, Elsevier and he is an International Journal of Information Technology, Springer, International Journal of Information and Decision Sciences etc. He is a Fellow of IETE and member of IE, ISOC etc.