Intelligent Speech Signal Processing
- 1st Edition - March 27, 2019
- Editor: Nilanjan Dey
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 8 1 3 0 - 0
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 1 8 1 3 1 - 7
Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics, creating… Read more
Purchase options
Institutional subscription on ScienceDirect
Request a sales quoteIntelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multidisciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, development and management of intelligent systems, neural networks and related machine learning techniques for speech signal processing.
- Highlights different data analytics techniques in speech signal processing, including machine learning and data mining
- Illustrates different applications and challenges across the design, implementation and management of intelligent systems and neural networks techniques for speech signal processing
- Includes coverage of biomodal speech recognition, voice activity detection, spoken language and speech disorder identification, automatic speech to speech summarization, and convolutional neural networks
Researchers, professionals, and graduate students in computer science & engineering, bioinformatics, and electrical engineering interested in signal processing, signal analysis, speech acquisition, soft computing
2. Voice Activity Detection Based Home Automation System for Special Needs People
3. Speech Recognition using Convolutional Neural Networks
4. A Deep Dive into Deep Learning Techniques for solving Spoken Language Identification Problems in Speech Signal processing
5. Convolutional Neural Networks for Raw Speech Recognition
6. Disambiguating Conflicting Classification Results in AVSR
7. Robust Bimodal Hindi speech recognition under adverse noisy conditions
8. Speech Disorder Identification Using Artificial Neural Network and Support Vector Machine: A Comparative Study
9. Large Scale Data based Audio Scene Analysis
10. Automatic Speech to Speech Summarization for Tamil Language
- No. of pages: 209
- Language: English
- Edition: 1
- Published: March 27, 2019
- Imprint: Academic Press
- Paperback ISBN: 9780128181300
- eBook ISBN: 9780128181317
ND
Nilanjan Dey
Nilanjan Dey is an Associate Professor in the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is a visiting fellow of the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012–2015). He was awarded 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 (SpringerNature), Data-Intensive Research(SpringerNature), Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He was an associate editor of IET Image Processing and editorial board member of Complex & Intelligent Systems, Springer Nature. He is an editorial board member of Applied Soft Computing, Elsevier. He is having 35 authored books and over 300 publications in the area of medical imaging, machine learning, computer aided diagnosis, data mining, etc. He is the Fellow of IETE and Senior member of IEEE.