Direction Of Arrival Estimation And Localization Of Multi Speech Sources PDF Download
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| Author | : Nilanjan Dey |
| Publisher | : Springer |
| Total Pages | : 67 |
| Release | : 2017-12-23 |
| Genre | : Technology & Engineering |
| ISBN | : 3319730592 |
Download Direction of Arrival Estimation and Localization of Multi-Speech Sources Book in PDF, ePub and Kindle
This book presents research and applications on arrival estimation and localization in speech processing to ensure that the broad vision of the direction of arrival estimation (DOAE) / localization of speech sources is well-established. The book first provides a brief overview of the most classical direction of arrival estimation and localization techniques. It then introduces the concept and model of acoustics sources and then highlights the most contemporary studies on this pervasive problem. In addition, the authors explore employing the optimization algorithms to improve the DOAE techniques. The book then highlights the concept and principles of the multi-DOAE approaches. Using a microphone array, the book introduces the localization and tracking problem of multiple speech/acoustic sources. It includes several applications and real-life speech sources localization based on the DOAE approaches. The book reports the challenges facing the DOAE techniques in speech-sources localization. The book pertains to researchers, designers, and engineers in speech processing fields.
| Author | : Nilanjan Dey |
| Publisher | : Academic Press |
| Total Pages | : 210 |
| Release | : 2019-06-15 |
| Genre | : Technology & Engineering |
| ISBN | : 0128181303 |
Download Intelligent Speech Signal Processing Book in PDF, ePub and Kindle
Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics related information, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. It provides a forum for readers to discover the characteristics of intelligent speech signal processing systems across different domains. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multi-disciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, implementation, 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
| Author | : Nilanjan Dey |
| Publisher | : Springer |
| Total Pages | : 64 |
| Release | : 2018-07-20 |
| Genre | : Technology & Engineering |
| ISBN | : 3319922254 |
Download Acoustic Sensors for Biomedical Applications Book in PDF, ePub and Kindle
In this book, application-related studies for acoustic biomedical sensors are covered in depth. The book features an array of different biomedical signals, including acoustic biomedical signals as well as the thermal biomedical signals, magnetic biomedical signals, and optical biomedical signals to support healthcare. It employs signal processing approaches, such as filtering, Fourier transform, spectral estimation, and wavelet transform. The book presents applications of acoustic biomedical sensors and bio-signal processing for prediction, detection, and monitoring of some diseases from the phonocardiogram (PCG) signal analysis. Several challenges and future perspectives related to the acoustic sensors applications are highlighted. This book supports the engineers, researchers, designers, and physicians in several interdisciplinary domains that support healthcare.
| Author | : Surekha Borra |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 193 |
| Release | : 2019-10-21 |
| Genre | : Computers |
| ISBN | : 311062110X |
Download Intelligent Decision Support Systems Book in PDF, ePub and Kindle
Intelligent prediction and decision support systems are based on signal processing, computer vision (CV), machine learning (ML), software engineering (SE), knowledge based systems (KBS), data mining, artificial intelligence (AI) and include several systems developed from the study of expert systems (ES), genetic algorithms (GA), artificial neural networks (ANN) and fuzzy-logic systems The use of automatic decision support systems in design and manufacturing industry, healthcare and commercial software development systems has the following benifits: Cost savings in companies, due to employment of expert system technology. Fast decision making, completion of projects in time and development of new products. Improvement in decision making capability and quality. Usage of Knowledge database and Preservation of expertise of individuals Eases complex decision problems. Ex: Diagnosis in Healthcare To address the issues and challenges related to development, implementation and application of automatic and intelligent prediction and decision support systems in domains such as manufacturing, healthcare and software product design, development and optimization, this book aims to collect and publish wide ranges of quality articles such as original research contributions, methodological reviews, survey papers, case studies and/or reports covering intelligent systems, expert prediction systems, evaluation models, decision support systems and Computer Aided Diagnosis (CAD).
| Author | : T. Engin Tuncer |
| Publisher | : Academic Press |
| Total Pages | : 451 |
| Release | : 2009-07-10 |
| Genre | : Technology & Engineering |
| ISBN | : 0080923070 |
Download Classical and Modern Direction-of-Arrival Estimation Book in PDF, ePub and Kindle
Classical and Modern Direction of Arrival Estimation contains both theory and practice of direction finding by the leading researchers in the field. This unique blend of techniques used in commercial DF systems and state-of-the art super-resolution methods is a valuable source of information for both practicing engineers and researchers. Key topics covered are: Classical methods of direction finding Practical DF methods used in commercial systems Calibration in antenna arrays Array mapping, fast algorithms and wideband processing Spatial time-frequency distributions for DOA estimation DOA estimation in threshold region Higher order statistics for DOA estimation Localization in sensor networks and direct position estimation Brings together in one book classical and modern DOA techniques, showing the connections between them Contains contributions from the leading people in the field Gives a concise and easy- to- read introduction to the classical techniques Evaluates the strengths and weaknesses of key super-resolution techniques Includes applications to sensor networks
| Author | : Richard R. Fay |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 340 |
| Release | : 2006-05-20 |
| Genre | : Science |
| ISBN | : 0387288635 |
Download Sound Source Localization Book in PDF, ePub and Kindle
The Springer Handbook of Auditory Research presents a series of compreh- sive and synthetic reviews of the fundamental topics in modern auditory - search. The volumes are aimed at all individuals with interests in hearing research including advanced graduate students, postdoctoral researchers, and clinical investigators. The volumes are intended to introduce new investigators to important aspects of hearing science and to help established investigators to better understand the fundamental theories and data in ?elds of hearing that they may not normally follow closely. Each volume presents a particular topic comprehensively, and each serves as a synthetic overview and guide to the literature. As such, the chapters present neither exhaustive data reviews nor original research that has not yet appeared in peer-reviewed journals. The volumes focus on topics that have developed a solid data and conceptual foundation rather than on those for which a literature is only beginning to develop. New research areas will be covered on a timely basis in the series as they begin to mature.
| Author | : Nilanjan Dey |
| Publisher | : Academic Press |
| Total Pages | : 208 |
| Release | : 2021-01-19 |
| Genre | : Technology & Engineering |
| ISBN | : 0128242132 |
Download Applied Speech Processing Book in PDF, ePub and Kindle
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
| Author | : Anurag Mishra |
| Publisher | : Springer Nature |
| Total Pages | : 418 |
| Release | : 2023-09-21 |
| Genre | : Technology & Engineering |
| ISBN | : 9819950880 |
Download Advances in IoT and Security with Computational Intelligence Book in PDF, ePub and Kindle
The book is a collection of peer-reviewed best-selected research papers presented at the International Conference on Advances in IoT and Security with AI (ICAISA 2023), organized by Deen Dayal Upadhyaya College, University of Delhi, New Delhi, India, in collaboration with University of Canberra, Canberra, Australia, and NIT, Arunachal Pradesh, Itanagar, AP, India, during March 24–25, 2023. The book includes various applications and technologies in this specialized sector of Industry 4.0. The book is divided into two volumes. It focuses on recent advances in Internet of Things and security with its applications using artificial intelligence.
| Author | : Yifan Wu |
| Publisher | : |
| Total Pages | : 0 |
| Release | : 2023 |
| Genre | : |
| ISBN | : |
Download Data-driven and Model-based Methods for Wideband Source Localization Book in PDF, ePub and Kindle
Wideband source localization is an important problem in signal processing, and it has wide-range applications in underwater acoustics, indoor speaker localization, teleconferencing, and etc. Over the past few decades, there are significant amount of methods proposed for the wideband source localization. However, it still remains a challenging problem. This dissertation tackles the wideband source localization from data-driven and model-based perspectives. For the data-driven part, a novel deep learning framework for the sound source localization (SSL) was proposed. SSL is to estimate the locations of the sound sources based on the received signal from the microphone array. SSL in the reverberant environment can be challenging due to the multipath artifacts in the received signals. To tackle with this challenge, a deep learning framework based on multi-task learning and image translation (MTIT) network is proposed. MTIT utilizes the encoder-decoder structure and it consists of one encoder and two decoders. The encoder aims to obtain a compressed representation of the input while the two decoders focus on two tasks in parallel. One decoder focuses on mitigating the multipath caused by reverberation and the other decoder predicts the source location. Due to the explicit dereverberation module and the shared encoder (representation), the proposed localization framework can achieve superior performance and can generalize to the unseen data in the reverberant environment compared to the existing baseline methods. For the model-based part, gridless direction-of-arrival (DOA) estimation based on atomic norm minimization (ANM) for the multi-frequency signal was studied. ANM was formulated to an equivalent computationally feasible semi-definite program (SDP) problem. The dual certificate condition is given to certify the optimality. A fast algorithm implementation is given and the dual problem of the SDP is considered. The method is further generalized to the non-uniform array and non-uniform frequency case. Extensive theoretical analysis and numerical experiments demonstrate the superior performance of the proposed method compared to sparse Bayesian learning, the existing grid-based multi-frequency DOA estimation method.
| Author | : Chaurasiya, Rahul Kumar |
| Publisher | : IGI Global |
| Total Pages | : 322 |
| Release | : 2022-05-27 |
| Genre | : Technology & Engineering |
| ISBN | : 1668439484 |
Download AI-Enabled Smart Healthcare Using Biomedical Signals Book in PDF, ePub and Kindle
Technological advancements have enhanced all functions of society and revolutionized the healthcare field. Smart healthcare applications and practices have grown within the past decade, strengthening overall care. Biomedical signals observe physiological activities, which provide essential information to healthcare professionals. Biomedical signal processing can be optimized through artificial intelligence (AI) and machine learning (ML), presenting the next step towards smart healthcare. AI-Enabled Smart Healthcare Using Biomedical Signals will not only cover the mathematical description of the AI- and ML-based methods, but also analyze and demonstrate the usability of different AI methods for a range of biomedical signals. The book covers all types of biomedical signals helpful for smart healthcare applications. Covering topics such as automated diagnosis, emotion identification, and frequency discrimination techniques, this premier reference source is an excellent resource for healthcare administration, biomedical engineers, medical laboratory technicians, medical technology assistants, computer scientists, libraries, students and faculty of higher education, researchers, and academicians.
