Intelligent Speech Signal Processing

Häftad, Engelska, 2019

1 265 kr

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Beskrivning

Intelligent 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

Produktinformation

Utgivningsdatum:2019-04-02
Mått:152 x 229 x 17 mm
Vikt:360 g
Format:Häftad
Språk:Engelska
Antal sidor:209
Förlag:Elsevier Science
ISBN:9780128181300

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Mer om författaren

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.

Innehållsförteckning

1. A Real-Time DSP-Based System for Voice Activity Detection and Background Noise Reduction2. Voice Activity Detection Based Home Automation System for Special Needs People3. Speech Recognition using Convolutional Neural Networks4. A Deep Dive into Deep Learning Techniques for solving Spoken Language Identification Problems in Speech Signal processing5. Convolutional Neural Networks for Raw Speech Recognition6. Disambiguating Conflicting Classification Results in AVSR7. Robust Bimodal Hindi speech recognition under adverse noisy conditions8. Speech Disorder Identification Using Artificial Neural Network and Support Vector Machine: A Comparative Study9. Large Scale Data based Audio Scene Analysis10. Automatic Speech to Speech Summarization for Tamil Language