Intelligent Speech Signal Processing Book

Intelligent Speech Signal Processing


  • Author : Nilanjan Dey
  • Publisher : Academic Press
  • Release Date : 2019-03-27
  • Genre: Technology & Engineering
  • Pages : 209
  • ISBN 10 : 9780128181317

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Intelligent Speech Signal Processing Excerpt :

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

Applied Speech Processing Book

Applied Speech Processing


  • Author : Nilanjan Dey
  • Publisher : Academic Press
  • Release Date : 2021-01-19
  • Genre: Technology & Engineering
  • Pages : 206
  • ISBN 10 : 9780128242131

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Applied Speech Processing Excerpt :

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

Signal Processing for Intelligent Sensor Systems with MATLAB Book

Signal Processing for Intelligent Sensor Systems with MATLAB


  • Author : David C. Swanson
  • Publisher : CRC Press
  • Release Date : 2011-07-21
  • Genre: Computers
  • Pages : 683
  • ISBN 10 : 9781439896280

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Signal Processing for Intelligent Sensor Systems with MATLAB Excerpt :

Signal Processing for Intelligent Sensors with MATLAB, Second Edition once again presents the key topics and salient information required for sensor design and application. Organized to make it accessible to engineers in school as well as those practicing in the field, this reference explores a broad array of subjects and is divided into sections:

Intelligent Signal Processing Book

Intelligent Signal Processing


  • Author : Simon Haykin
  • Publisher : Wiley-IEEE Press
  • Release Date : 2001-01-15
  • Genre: Computers
  • Pages : 573
  • ISBN 10 : UOM:39015050503427

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Intelligent Signal Processing Excerpt :

Intelligent signal processing (ISP) differs fundamentally from the classical approach to statistical signal processing in that the input-output behavior of a complex system is modeled by using an artificial intelligence capable of optimizing results.

Intelligent Systems and Signal Processing in Power Engineering Book
Score: 4.5
From 3 Ratings

Intelligent Systems and Signal Processing in Power Engineering


  • Author : Abhisek Ukil
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-09-23
  • Genre: Technology & Engineering
  • Pages : 372
  • ISBN 10 : 9783540731702

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Intelligent Systems and Signal Processing in Power Engineering Excerpt :

This highly experienced author sets out to build a bridge between two inter-disciplinary power engineering practices. The book looks into two major fields used in modern power systems: intelligent systems and the signal processing. The intelligent systems section comprises fuzzy logic, neural network and support vector machine. The author looks at relevant theories on the topics without assuming much particular background. Following the theoretical basics, he studies their applications in various problems in power engineering, like, load forecasting, phase balancing, or disturbance analysis.

Machine Intelligence and Signal Analysis Book

Machine Intelligence and Signal Analysis


  • Author : M. Tanveer
  • Publisher : Springer
  • Release Date : 2018-08-07
  • Genre: Technology & Engineering
  • Pages : 767
  • ISBN 10 : 9789811309236

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Machine Intelligence and Signal Analysis Excerpt :

The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.

Speech  Audio  Image and Biomedical Signal Processing using Neural Networks Book

Speech Audio Image and Biomedical Signal Processing using Neural Networks


  • Author : Bhanu Prasad
  • Publisher : Springer Science & Business Media
  • Release Date : 2008-01-03
  • Genre: Computers
  • Pages : 419
  • ISBN 10 : 9783540753971

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Speech Audio Image and Biomedical Signal Processing using Neural Networks Excerpt :

Humans are remarkable in processing speech, audio, image and some biomedical signals. Artificial neural networks are proved to be successful in performing several cognitive, industrial and scientific tasks. This peer reviewed book presents some recent advances and surveys on the applications of artificial neural networks in the areas of speech, audio, image and biomedical signal processing. It chapters are prepared by some reputed researchers and practitioners around the globe.

Proceedings of the International e Conference on Intelligent Systems and Signal Processing Book

Proceedings of the International e Conference on Intelligent Systems and Signal Processing


  • Author : Falgun Thakkar
  • Publisher : Springer Nature
  • Release Date : 2021-08-13
  • Genre: Technology & Engineering
  • Pages : 799
  • ISBN 10 : 9789811621239

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Proceedings of the International e Conference on Intelligent Systems and Signal Processing Excerpt :

This book provides insights into the Third International Conference on Intelligent Systems and Signal Processing (eISSP 2020) held By Electronics & Communication Engineering Department of G H Patel College of Engineering & Technology, Gujarat, India, during 28–30 December 2020. The book comprises contributions by the research scholars and academicians covering the topics in signal processing and communication engineering, applied electronics and emerging technologies, Internet of Things (IoT), robotics, machine learning, deep learning and artificial intelligence. The main emphasis of the book is on dissemination of information, experience and research results on the current topics of interest through in-depth discussions and contribution of researchers from all over world. The book is useful for research community, academicians, industrialists and postgraduate students across the globe.

Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing Book

Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing


  • Author : Jeng-Shyang Pan
  • Publisher : Unknown
  • Release Date : 2019
  • Genre: Big data
  • Pages : null
  • ISBN 10 : 3030037495

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Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing Excerpt :

This book features papers presented at IIH-MSP 2018, the 14th International Conference on Intelligent Information Hiding and Multimedia Signal Processing. The scope of IIH-MSP included information hiding and security, multimedia signal processing and networking, and bio-inspired multimedia technologies and systems. The book discusses subjects related to massive image/video compression and transmission for emerging networks, advances in speech and language processing, recent advances in information hiding and signal processing for audio and speech signals, intelligent distribution systems and applications, recent advances in security and privacy for multimodal network environments, multimedia signal processing, and machine learning. Presenting the latest research outcomes and findings, it is suitable for researchers and students who are interested in the corresponding fields. IIH-MSP 2018 was held in Sendai, Japan on 26-28 November 2018. It was hosted by Tohoku University and was co-sponsored by the Fujian University of Technology in China, the Taiwan Association for Web Intelligence Consortium in Taiwan, and the Swinburne University of Technology in Australia, as well as the Fujian Provincial Key Laboratory of Big Data Mining and Applications (Fujian University of Technology) and the Harbin Institute of Technology Shenzhen Graduate School in China.

Machine Learning Methods for Signal  Image and Speech Processing Book

Machine Learning Methods for Signal Image and Speech Processing


  • Author : Meerja Akhil Jabbar
  • Publisher : Unknown
  • Release Date : 2021-11-30
  • Genre: Uncategoriezed
  • Pages : 250
  • ISBN 10 : 8770223696

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Machine Learning Methods for Signal Image and Speech Processing Excerpt :

The signal processing (SP) landscape has been enriched by recent advances in artificial intelligence (AI) and machine learning (ML), yielding new tools for signal estimation, classification, prediction, and manipulation. Layered signal representations, nonlinear function approximation and nonlinear signal prediction are now feasible at very large scale in both dimensionality and data size. These are leading to significant performance gains in a variety of long-standing problem domains like speech and image analysis as well as providing the ability to construct new classes of nonlinear functions (e.g., fusion, nonlinear filtering). This book will help academics, researchers, developers, graduate and undergraduate students to comprehend complex SP data across a wide range of topical application areas such as social multimedia data collected from social media networks, medical imaging data, data from Covid tests, etc. This book focuses on AI utilization in the speech, image, communications and virtual reality domains.

Multimedia Signal Processing Book
Score: 3
From 1 Ratings

Multimedia Signal Processing


  • Author : Saeed V. Vaseghi
  • Publisher : John Wiley & Sons
  • Release Date : 2007-10-22
  • Genre: Science
  • Pages : 680
  • ISBN 10 : 0470066490

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Multimedia Signal Processing Excerpt :

Multimedia Signal Processing is a comprehensive and accessible text to the theory and applications of digital signal processing (DSP). The applications of DSP are pervasive and include multimedia systems, cellular communication, adaptive network management, radar, pattern recognition, medical signal processing, financial data forecasting, artificial intelligence, decision making, control systems and search engines. This book is organised in to three major parts making it a coherent and structured presentation of the theory and applications of digital signal processing. A range of important topics are covered in basic signal processing, model-based statistical signal processing and their applications. Part 1: Basic Digital Signal Processing gives an introduction to the topic, discussing sampling and quantization, Fourier analysis and synthesis, Z-transform, and digital filters. Part 2: Model-based Signal Processing covers probability and information models, Bayesian inference, Wiener filter, adaptive filters, linear prediction hidden Markov models and independent component analysis. Part 3: Applications of Signal Processing in Speech, Music and Telecommunications explains the topics of speech and music processing, echo cancellation, deconvolution and channel equalization, and mobile communication signal processing. Covers music signal processing, explains the anatomy and psychoacoustics of hearing and the design of MP3 music coder Examines speech processing technology including speech models, speech coding for mobile phones and speech recognition Covers single-input and multiple-inputs denoising methods, bandwidth extension and the recovery of lost speech packets in applications such as voice over IP (VoIP) Illustrated throughout, including numerous solved problems, Matlab experiments and demonstrations Companion website features Matlab and C++ programs with electronic copies of all figures. This book is ideal for researchers, postgraduates and senior undergraduates

Proceedings of the International Conference on Intelligent Systems and Signal Processing Book

Proceedings of the International Conference on Intelligent Systems and Signal Processing


  • Author : Rahul Kher
  • Publisher : Springer
  • Release Date : 2018-01-18
  • Genre: Technology & Engineering
  • Pages : 320
  • ISBN 10 : 9789811069772

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Proceedings of the International Conference on Intelligent Systems and Signal Processing Excerpt :

The book provides insights into International Conference on Intelligent Systems and Signal Processing (ISSP 2017) held at G.H. Patel College of Engineering & Technology, Gujarat, India during March 24-25, 2017. The book comprises contributions by the research scholars and academicians covering the topics in signal processing and communication engineering, applied electronics and emerging technologies, computer vision and machine learning, big data and cloud computing and advanced intelligent power electronics and drives systems. The main emphasis of the book is on dissemination of information, experience and research results on the current topics of interest through in-depth discussions and contribution of researchers from all over world. The book is useful for research community, academicians, industrialists and post graduate students across the globe.

Artificial Intelligence and Signal Processing Book

Artificial Intelligence and Signal Processing


  • Author : Ali Movaghar
  • Publisher : Springer
  • Release Date : 2014-10-13
  • Genre: Computers
  • Pages : 346
  • ISBN 10 : 3319108484

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Artificial Intelligence and Signal Processing Excerpt :

This book constitutes the refereed proceedings of the International Symposium, on Artificial Intelligence and Signal Processing, AISP 2013, held in Tehran, Iran, in December 2013. The 35 full papers presented were carefully reviewed and selected from 106 submissions. They are organized in topical sections such as image processing, machine vision, medical image processing, signal processing, speech processing, natural language processing, systems and AI applications, robotics.

Audio Processing and Speech Recognition Book

Audio Processing and Speech Recognition


  • Author : Soumya Sen
  • Publisher : Springer
  • Release Date : 2019-01-30
  • Genre: Technology & Engineering
  • Pages : 96
  • ISBN 10 : 9789811360985

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Audio Processing and Speech Recognition Excerpt :

This book offers an overview of audio processing, including the latest advances in the methodologies used in audio processing and speech recognition. First, it discusses the importance of audio indexing and classical information retrieval problem and presents two major indexing techniques, namely Large Vocabulary Continuous Speech Recognition (LVCSR) and Phonetic Search. It then offers brief insights into the human speech production system and its modeling, which are required to produce artificial speech. It also discusses various components of an automatic speech recognition (ASR) system. 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.

Signal Processing and Machine Learning with Applications Book

Signal Processing and Machine Learning with Applications


  • Author : Michael M. Richter
  • Publisher : Springer
  • Release Date : 2022-07-23
  • Genre: Computers
  • Pages : 603
  • ISBN 10 : 3319453718

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Signal Processing and Machine Learning with Applications Excerpt :

Signal processing captures, interprets, describes and manipulates physical phenomena. Mathematics, statistics, probability, and stochastic processes are among the signal processing languages we use to interpret real-world phenomena, model them, and extract useful information. This book presents different kinds of signals humans use and applies them for human machine interaction to communicate. Signal Processing and Machine Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligence tasks in conjunction with their applications. It is organized in three parts: Realms of Signal Processing; Machine Learning and Recognition; and Advanced Applications and Artificial Intelligence. The comprehensive coverage is accompanied by numerous examples, questions with solutions, with historical notes. The book is intended for advanced undergraduate and postgraduate students, researchers and practitioners who are engaged with signal processing, machine learning and the applications.