Save 50% on book bundles
Immediately download your ebook while waiting for your print delivery. No promo code is needed.
Back to School Savings: Save up to 30% on print books and eBooks. No promo code needed.
Back to School Savings: Save up to 30%
Applied Speech Processing
Algorithms and Case Studies
1st Edition - January 19, 2021
Author: Nilanjan Dey
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 activities,… Read more
Purchase Options
Applied Speech Processing: Algorithms and Case Studies is concerned with supporting and enhancing the utilization of speech analytics in several systems and real-world activities, including sharing data analytics related information, creating collaboration networks between several participants, and the use of video-conferencing in different application areas. The book provides a well-standing forum to discuss the characteristics of the intelligent speech signal processing systems in different domains. The book is proposed for professionals, scientists, and engineers who are involved in new techniques of intelligent speech signal processing methods and systems. It provides an outstanding foundation for undergraduate and post-graduate students as well.
- 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
- Published: January 19, 2021
- Imprint: Academic Press
- Paperback ISBN: 9780128238981
- eBook ISBN: 9780128242131
ND
Nilanjan Dey
Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, JIS University, Kolkata, India. He is a visiting fellow of the University of Reading, UK, and also holds the position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held the honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He got his PhD from Jadavpur University in 2015. He is the Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global, USA. He is the Series Co-Editor of Springer Tracts in Nature-Inspired Computing (Springer Nature), Data-Intensive Research (Springer Nature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is an associate editor of IET Image Processing (Wiley) and an editorial board member of Complex & Intelligent Systems (Springer Nature), Applied Soft Computing (Elsevier), and more. He has written 110 books and over 300 other publications in the areas of medical imaging, machine learning, computer aided diagnosis, data mining, etc. His works have been cited over 15,000 times. He is India’s Ambassador to the International Federation for Information Processing—Young ICT Group and a senior member of IEEE.
Affiliations and expertise
Department of Computer Science & Engineering, Maulana Abul Kalam Azad JIS University, Agarpara, Kolkata, India.