Machine Learning Methods For Signal Image And Speech Processing

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Machine Learning Methods for Signal, Image and Speech Processing

M.A. Jabbar,MVV Prasad Kantipudi,Sheng-Lung Peng,Mamun Bin Ibne Reaz,Ana Maria Madureira
Machine Learning Methods for Signal Image and Speech Processing Book PDF

Author : M.A. Jabbar,MVV Prasad Kantipudi,Sheng-Lung Peng,Mamun Bin Ibne Reaz,Ana Maria Madureira
Publisher : CRC Press
Page : 257 pages
File Size : 54,9 Mb
Release : 2022-09-01
Category : Computers
ISBN : 9781000794748

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Machine Learning Methods for Signal, Image and Speech Processing by M.A. Jabbar,MVV Prasad Kantipudi,Sheng-Lung Peng,Mamun Bin Ibne Reaz,Ana Maria Madureira Pdf

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 yirtual reality domains.

Machine Learning Algorithms for Signal and Image Processing

Deepika Ghai,Suman Lata Tripathi,Sobhit Saxena,Manash Chanda,Mamoun Alazab
Machine Learning Algorithms for Signal and Image Processing Book PDF

Author : Deepika Ghai,Suman Lata Tripathi,Sobhit Saxena,Manash Chanda,Mamoun Alazab
Publisher : John Wiley & Sons
Page : 516 pages
File Size : 48,9 Mb
Release : 2022-11-18
Category : Technology & Engineering
ISBN : 9781119861843

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Machine Learning Algorithms for Signal and Image Processing by Deepika Ghai,Suman Lata Tripathi,Sobhit Saxena,Manash Chanda,Mamoun Alazab Pdf

Machine Learning Algorithms for Signal and Image Processing Enables readers to understand the fundamental concepts of machine and deep learning techniques with interactive, real-life applications within signal and image processing Machine Learning Algorithms for Signal and Image Processing aids the reader in designing and developing real-world applications using advances in machine learning to aid and enhance speech signal processing, image processing, computer vision, biomedical signal processing, adaptive filtering, and text processing. It includes signal processing techniques applied for pre-processing, feature extraction, source separation, or data decompositions to achieve machine learning tasks. Written by well-qualified authors and contributed to by a team of experts within the field, the work covers a wide range of important topics, such as: Speech recognition, image reconstruction, object classification and detection, and text processing Healthcare monitoring, biomedical systems, and green energy How various machine and deep learning techniques can improve accuracy, precision rate recall rate, and processing time Real applications and examples, including smart sign language recognition, fake news detection in social media, structural damage prediction, and epileptic seizure detection Professionals within the field of signal and image processing seeking to adapt their work further will find immense value in this easy-to-understand yet extremely comprehensive reference work. It is also a worthy resource for students and researchers in related fields who are looking to thoroughly understand the historical and recent developments that have been made in the field.

Deep Learning for Multimedia Processing Applications

Uzair Aslam Bhatti,Huang Mengxing,Jingbing Li,Sibghat Ullah Bazai,Muhammad Aamir
Deep Learning for Multimedia Processing Applications Book PDF

Author : Uzair Aslam Bhatti,Huang Mengxing,Jingbing Li,Sibghat Ullah Bazai,Muhammad Aamir
Publisher : CRC Press
Page : 481 pages
File Size : 45,6 Mb
Release : 2024-02-21
Category : Computers
ISBN : 9781003828051

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Deep Learning for Multimedia Processing Applications by Uzair Aslam Bhatti,Huang Mengxing,Jingbing Li,Sibghat Ullah Bazai,Muhammad Aamir Pdf

Deep Learning for Multimedia Processing Applications is a comprehensive guide that explores the revolutionary impact of deep learning techniques in the field of multimedia processing. Written for a wide range of readers, from students to professionals, this book offers a concise and accessible overview of the application of deep learning in various multimedia domains, including image processing, video analysis, audio recognition, and natural language processing. Divided into two volumes, Volume Two delves into advanced topics such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs), explaining their unique capabilities in multimedia tasks. Readers will discover how deep learning techniques enable accurate and efficient image recognition, object detection, semantic segmentation, and image synthesis. The book also covers video analysis techniques, including action recognition, video captioning, and video generation, highlighting the role of deep learning in extracting meaningful information from videos. Furthermore, the book explores audio processing tasks such as speech recognition, music classification, and sound event detection using deep learning models. It demonstrates how deep learning algorithms can effectively process audio data, opening up new possibilities in multimedia applications. Lastly, the book explores the integration of deep learning with natural language processing techniques, enabling systems to understand, generate, and interpret textual information in multimedia contexts. Throughout the book, practical examples, code snippets, and real-world case studies are provided to help readers gain hands-on experience in implementing deep learning solutions for multimedia processing. Deep Learning for Multimedia Processing Applications is an essential resource for anyone interested in harnessing the power of deep learning to unlock the vast potential of multimedia data.

Machine Learning in Signal Processing

Sudeep Tanwar,Anand Nayyar,Rudra Rameshwar
Machine Learning in Signal Processing Book PDF

Author : Sudeep Tanwar,Anand Nayyar,Rudra Rameshwar
Publisher : CRC Press
Page : 488 pages
File Size : 44,6 Mb
Release : 2021-12-10
Category : Technology & Engineering
ISBN : 9781000487817

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Machine Learning in Signal Processing by Sudeep Tanwar,Anand Nayyar,Rudra Rameshwar Pdf

Machine Learning in Signal Processing: Applications, Challenges, and the Road Ahead offers a comprehensive approach toward research orientation for familiarizing signal processing (SP) concepts to machine learning (ML). ML, as the driving force of the wave of artificial intelligence (AI), provides powerful solutions to many real-world technical and scientific challenges. This book will present the most recent and exciting advances in signal processing for ML. The focus is on understanding the contributions of signal processing and ML, and its aim to solve some of the biggest challenges in AI and ML. FEATURES Focuses on addressing the missing connection between signal processing and ML Provides a one-stop guide reference for readers Oriented toward material and flow with regards to general introduction and technical aspects Comprehensively elaborates on the material with examples and diagrams This book is a complete resource designed exclusively for advanced undergraduate students, post-graduate students, research scholars, faculties, and academicians of computer science and engineering, computer science and applications, and electronics and telecommunication engineering.

Deep Learning Approaches for Spoken and Natural Language Processing

Virender Kadyan,Amitoj Singh,Mohit Mittal,Laith Abualigah
Deep Learning Approaches for Spoken and Natural Language Processing Book PDF

Author : Virender Kadyan,Amitoj Singh,Mohit Mittal,Laith Abualigah
Publisher : Springer Nature
Page : 171 pages
File Size : 50,9 Mb
Release : 2022-01-01
Category : Technology & Engineering
ISBN : 9783030797782

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Deep Learning Approaches for Spoken and Natural Language Processing by Virender Kadyan,Amitoj Singh,Mohit Mittal,Laith Abualigah Pdf

This book provides insights into how deep learning techniques impact language and speech processing applications. The authors discuss the promise, limits and the new challenges in deep learning. The book covers the major differences between the various applications of deep learning and the classical machine learning techniques. The main objective of the book is to present a comprehensive survey of the major applications and research oriented articles based on deep learning techniques that are focused on natural language and speech signal processing. The book is relevant to academicians, research scholars, industrial experts, scientists and post graduate students working in the field of speech signal and natural language processing and would like to add deep learning to enhance capabilities of their work. Discusses current research challenges and future perspective about how deep learning techniques can be applied to improve NLP and speech processing applications; Presents and escalates the research trends and future direction of language and speech processing; Includes theoretical research, experimental results, and applications of deep learning.

Machine Learning for Signal Processing

Max A. Little
Machine Learning for Signal Processing Book PDF

Author : Max A. Little
Publisher : Oxford University Press, USA
Page : 378 pages
File Size : 47,9 Mb
Release : 2019
Category : Computers
ISBN : 9780198714934

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Machine Learning for Signal Processing by Max A. Little Pdf

Describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Builds up concepts gradually so that the ideas and algorithms can be implemented in practical software applications.

Machine Intelligence and Signal Processing

Richa Singh,Mayank Vatsa,Angshul Majumdar,Ajay Kumar
Machine Intelligence and Signal Processing Book PDF

Author : Richa Singh,Mayank Vatsa,Angshul Majumdar,Ajay Kumar
Publisher : Springer
Page : 163 pages
File Size : 46,5 Mb
Release : 2015-10-01
Category : Technology & Engineering
ISBN : 9788132226253

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Machine Intelligence and Signal Processing by Richa Singh,Mayank Vatsa,Angshul Majumdar,Ajay Kumar Pdf

This book comprises chapters on key problems in machine learning and signal processing arenas. The contents of the book are a result of a 2014 Workshop on Machine Intelligence and Signal Processing held at the Indraprastha Institute of Information Technology. Traditionally, signal processing and machine learning were considered to be separate areas of research. However in recent times the two communities are getting closer. In a very abstract fashion, signal processing is the study of operator design. The contributions of signal processing had been to device operators for restoration, compression, etc. Applied Mathematicians were more interested in operator analysis. Nowadays signal processing research is gravitating towards operator learning – instead of designing operators based on heuristics (for example wavelets), the trend is to learn these operators (for example dictionary learning). And thus, the gap between signal processing and machine learning is fast converging. The 2014 Workshop on Machine Intelligence and Signal Processing was one of the few unique events that are focused on the convergence of the two fields. The book is comprised of chapters based on the top presentations at the workshop. This book has three chapters on various topics of biometrics – two are on face detection and one on iris recognition; all from top researchers in their field. There are four chapters on different biomedical signal / image processing problems. Two of these are on retinal vessel classification and extraction; one on biomedical signal acquisition and the fourth one on region detection. There are three chapters on data analysis – a topic gaining immense popularity in industry and academia. One of these shows a novel use of compressed sensing in missing sales data interpolation. Another chapter is on spam detection and the third one is on simple one-shot movie rating prediction. Four other chapters cover various cutting edge miscellaneous topics on character recognition, software effort prediction, speech recognition and non-linear sparse recovery. The contents of this book will prove useful to researchers, professionals and students in the domains of machine learning and signal processing.

Learning Approaches in Signal Processing

Wan-Chi Siu,Lap-Pui Chau,Liang Wang,Tieniu Tang
Learning Approaches in Signal Processing Book PDF

Author : Wan-Chi Siu,Lap-Pui Chau,Liang Wang,Tieniu Tang
Publisher : CRC Press
Page : 654 pages
File Size : 55,9 Mb
Release : 2018-12-07
Category : Computers
ISBN : 9780429592263

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Learning Approaches in Signal Processing by Wan-Chi Siu,Lap-Pui Chau,Liang Wang,Tieniu Tang Pdf

Coupled with machine learning, the use of signal processing techniques for big data analysis, Internet of things, smart cities, security, and bio-informatics applications has witnessed explosive growth. This has been made possible via fast algorithms on data, speech, image, and video processing with advanced GPU technology. This book presents an up-to-date tutorial and overview on learning technologies such as random forests, sparsity, and low-rank matrix estimation and cutting-edge visual/signal processing techniques, including face recognition, Kalman filtering, and multirate DSP. It discusses the applications that make use of deep learning, convolutional neural networks, random forests, etc. The applications include super-resolution imaging, fringe projection profilometry, human activities detection/capture, gesture recognition, spoken language processing, cooperative networks, bioinformatics, DNA, and healthcare.

Deep Learning

Li Deng,Dong Yu
Deep Learning Book PDF

Author : Li Deng,Dong Yu
Publisher : Unknown
Page : 191 pages
File Size : 44,6 Mb
Release : 2014
Category : Machine learning
ISBN : 160198815X

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Deep Learning by Li Deng,Dong Yu Pdf

This monograph provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks. The application areas are chosen with the following three criteria in mind: (1) expertise or knowledge of the authors; (2) the application areas that have already been transformed by the successful use of deep learning technology, such as speech recognition and computer vision; and (3) the application areas that have the potential to be impacted significantly by deep learning and that have been experiencing research growth, including natural language and text processing, information retrieval, and multimodal information processing empowered by multi-task deep learning.

New Era for Robust Speech Recognition

Shinji Watanabe,Marc Delcroix,Florian Metze,John R. Hershey
New Era for Robust Speech Recognition Book PDF

Author : Shinji Watanabe,Marc Delcroix,Florian Metze,John R. Hershey
Publisher : Springer
Page : 436 pages
File Size : 52,6 Mb
Release : 2017-10-30
Category : Computers
ISBN : 9783319646800

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New Era for Robust Speech Recognition by Shinji Watanabe,Marc Delcroix,Florian Metze,John R. Hershey Pdf

This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and training criteria. The contributed chapters also include descriptions of real-world applications, benchmark tools and datasets widely used in the field. This book is intended for researchers and practitioners working in the field of speech processing and recognition who are interested in the latest deep learning techniques for noise robustness. It will also be of interest to graduate students in electrical engineering or computer science, who will find it a useful guide to this field of research.

Signal Processing and Machine Learning for Brain-Machine Interfaces

Toshihisa Tanaka,Mahnaz Arvaneh
Signal Processing and Machine Learning for Brain Machine Interfaces Book PDF

Author : Toshihisa Tanaka,Mahnaz Arvaneh
Publisher : Institution of Engineering and Technology
Page : 355 pages
File Size : 48,8 Mb
Release : 2018-09
Category : Technology & Engineering
ISBN : 9781785613982

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Signal Processing and Machine Learning for Brain-Machine Interfaces by Toshihisa Tanaka,Mahnaz Arvaneh Pdf

This book introduces signal processing and machine learning techniques for Brain Machine Interfacing/Brain Computer Interfacing (BMI/BCI), and their practical and future applications in neuroscience, medicine, and rehabilitation. This is an emerging and challenging technology in engineering, computing, machine learning, neuroscience and medicine, and so the book will interest researchers, engineers, professionals and specialists from all of these areas who need to know more about cutting edge technologies in the fields.

Signal Processing and Machine Learning Theory

Paulo S.R. Diniz
Signal Processing and Machine Learning Theory Book PDF

Author : Paulo S.R. Diniz
Publisher : Elsevier
Page : 1236 pages
File Size : 42,6 Mb
Release : 2023-07-10
Category : Technology & Engineering
ISBN : 9780323972253

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Signal Processing and Machine Learning Theory by Paulo S.R. Diniz Pdf

Signal Processing and Machine Learning Theory, authored by world-leading experts, reviews the principles, methods and techniques of essential and advanced signal processing theory. These theories and tools are the driving engines of many current and emerging research topics and technologies, such as machine learning, autonomous vehicles, the internet of things, future wireless communications, medical imaging, etc. Provides quick tutorial reviews of important and emerging topics of research in signal processing-based tools Presents core principles in signal processing theory and shows their applications Discusses some emerging signal processing tools applied in machine learning methods References content on core principles, technologies, algorithms and applications Includes references to journal articles and other literature on which to build further, more specific, and detailed knowledge

Deep Learning in Visual Computing and Signal Processing

Krishna Kant Singh,Vibhav Kumar Sachan,Akansha Singh,Sanjeevikumar Padmanaban
Deep Learning in Visual Computing and Signal Processing Book PDF

Author : Krishna Kant Singh,Vibhav Kumar Sachan,Akansha Singh,Sanjeevikumar Padmanaban
Publisher : CRC Press
Page : 270 pages
File Size : 44,9 Mb
Release : 2022-10-20
Category : Science
ISBN : 9781000564884

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Deep Learning in Visual Computing and Signal Processing by Krishna Kant Singh,Vibhav Kumar Sachan,Akansha Singh,Sanjeevikumar Padmanaban Pdf

An enlightening amalgamation of deep learning concepts with visual computing and signal processing applications, this new volume covers the fundamentals and advanced topics in designing and deploying techniques using deep architectures and their application in visual computing and signal processing. The volume first lays out the fundamentals of deep learning as well as deep learning architectures and frameworks. It goes on to discuss deep learning in neural networks and deep learning for object recognition and detection models. It looks at the various specific applications of deep learning in visual and signal processing, such as in biorobotics, for automated brain tumor segmentation in MRI images, in neural networks for use in seizure classification, for digital forensic investigation based on deep learning, and more.

Signal Processing and Machine Learning with Applications

Michael M. Richter,Sheuli Paul,Veton Këpuska,Marius Silaghi
Signal Processing and Machine Learning with Applications Book PDF

Author : Michael M. Richter,Sheuli Paul,Veton Këpuska,Marius Silaghi
Publisher : Springer
Page : 0 pages
File Size : 48,5 Mb
Release : 2022-10-01
Category : Computers
ISBN : 3319453718

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Signal Processing and Machine Learning with Applications by Michael M. Richter,Sheuli Paul,Veton Këpuska,Marius Silaghi Pdf

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.

Applied Speech Processing

Nilanjan Dey
Applied Speech Processing Book PDF

Author : Nilanjan Dey
Publisher : Academic Press
Page : 208 pages
File Size : 52,5 Mb
Release : 2021-01-19
Category : Technology & Engineering
ISBN : 9780128242131

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Applied Speech Processing by Nilanjan Dey Pdf

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