Author: Hemant A. Patil
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1501502433
Category : Technology & Engineering
Languages : en
Pages : 323
Book Description
Signal and Acoustic Modeling for Speech and Communication Disorders
Author: Hemant A. Patil
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1501502433
Category : Technology & Engineering
Languages : en
Pages : 323
Book Description
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1501502433
Category : Technology & Engineering
Languages : en
Pages : 323
Book Description
Signal and Acoustic Modeling for Speech and Communication Disorders
Author: Hemant A. Patil
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1501502417
Category : Technology & Engineering
Languages : en
Pages : 286
Book Description
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1501502417
Category : Technology & Engineering
Languages : en
Pages : 286
Book Description
Intelligent Speech Signal Processing
Author: Nilanjan Dey
Publisher: Academic Press
ISBN: 0128181303
Category : Technology & Engineering
Languages : en
Pages : 210
Book Description
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.
Publisher: Academic Press
ISBN: 0128181303
Category : Technology & Engineering
Languages : en
Pages : 210
Book Description
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.
Signals and Systems
Author: Gang Li
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110379546
Category : Technology & Engineering
Languages : en
Pages : 284
Book Description
Signals and systems enjoy wide application in industry and daily life, and understanding basic concepts of the subject area is of importance to undergraduates majoring in engineering. With rigorous mathematical deduction, this introductory text book is helpful for students who study communications engineering, electrical and electronic engineering, and control engineering. Additionally, supplementary materials are provided for self-learners.
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110379546
Category : Technology & Engineering
Languages : en
Pages : 284
Book Description
Signals and systems enjoy wide application in industry and daily life, and understanding basic concepts of the subject area is of importance to undergraduates majoring in engineering. With rigorous mathematical deduction, this introductory text book is helpful for students who study communications engineering, electrical and electronic engineering, and control engineering. Additionally, supplementary materials are provided for self-learners.
Innovative Data Integration and Conceptual Space Modeling for COVID, Cancer, and Cardiac Care
Author: Amy Neustein
Publisher: Academic Press
ISBN: 0323853560
Category : Science
Languages : en
Pages : 288
Book Description
In recent years, scientific research and translation medicine have placed increased emphasis on computational methodology and data curation across many disciplines, both to advance underlying science and to instantiate precision-medicine protocols in the lab and in clinical practice. The nexus of concerns related to oncology, cardiology, and virology (SARS-CoV-2) presents a fortuitous context within which to examine the theory and practice of biomedical data curation. Innovative Data Integration and Conceptual Space Modeling for COVID, Cancer, and Cardiac Care argues that a well-rounded approach to data modeling should optimally embrace multiple perspectives inasmuch as data-modeling is neither a purely formal nor a purely conceptual discipline, but rather a hybrid of both. On the one hand, data models are designed for use by computer software components, and are, consequently, constrained by the mechanistic demands of software environments; data modeling strategies must accept the formal rigors imposed by unambiguous data-sharing and query-evaluation logic. In particular, data models are not well-suited for software-level deployment if such models do not translate seamlessly to clear strategies for querying data and ensuring data integrity as information is moved across multiple points. On the other hand, data modeling is, likewise, constrained by human conceptual tendencies, because the information which is managed by databases and data networks is ultimately intended to be visualized/utilized by humans as the end-user. Thus, at the intersection of both formal and humanistic methodology, data modeling takes on elements of both logico-mathematical frameworks (e.g., type systems and graph theory) and conceptual/philosophical paradigms (e.g., linguistics and cognitive science). The authors embrace this two-sided aspect of data models by seeking non-reductionistic points of convergence between formal and humanistic/conceptual viewpoints, and by leveraging biomedical contexts (viz., COVID, Cancer, and Cardiac Care) so as to provide motivating examples and case-studies in this volume. - Provides an analysis of how conceptual spaces and related cognitive linguistic approaches can inspire programming and query-processing models - Outlines the vital role that data modeling/curation has played in significant medical breakthroughs - Presents readers with an overview of how information-management approaches intersect with precision medicine, providing case studies of data-modeling in concrete scientific practice - Explores applications of image analysis and computer vision in the context of precision medicine - Examines the role of technology in scientific publishing, replication studies, and dataset curation
Publisher: Academic Press
ISBN: 0323853560
Category : Science
Languages : en
Pages : 288
Book Description
In recent years, scientific research and translation medicine have placed increased emphasis on computational methodology and data curation across many disciplines, both to advance underlying science and to instantiate precision-medicine protocols in the lab and in clinical practice. The nexus of concerns related to oncology, cardiology, and virology (SARS-CoV-2) presents a fortuitous context within which to examine the theory and practice of biomedical data curation. Innovative Data Integration and Conceptual Space Modeling for COVID, Cancer, and Cardiac Care argues that a well-rounded approach to data modeling should optimally embrace multiple perspectives inasmuch as data-modeling is neither a purely formal nor a purely conceptual discipline, but rather a hybrid of both. On the one hand, data models are designed for use by computer software components, and are, consequently, constrained by the mechanistic demands of software environments; data modeling strategies must accept the formal rigors imposed by unambiguous data-sharing and query-evaluation logic. In particular, data models are not well-suited for software-level deployment if such models do not translate seamlessly to clear strategies for querying data and ensuring data integrity as information is moved across multiple points. On the other hand, data modeling is, likewise, constrained by human conceptual tendencies, because the information which is managed by databases and data networks is ultimately intended to be visualized/utilized by humans as the end-user. Thus, at the intersection of both formal and humanistic methodology, data modeling takes on elements of both logico-mathematical frameworks (e.g., type systems and graph theory) and conceptual/philosophical paradigms (e.g., linguistics and cognitive science). The authors embrace this two-sided aspect of data models by seeking non-reductionistic points of convergence between formal and humanistic/conceptual viewpoints, and by leveraging biomedical contexts (viz., COVID, Cancer, and Cardiac Care) so as to provide motivating examples and case-studies in this volume. - Provides an analysis of how conceptual spaces and related cognitive linguistic approaches can inspire programming and query-processing models - Outlines the vital role that data modeling/curation has played in significant medical breakthroughs - Presents readers with an overview of how information-management approaches intersect with precision medicine, providing case studies of data-modeling in concrete scientific practice - Explores applications of image analysis and computer vision in the context of precision medicine - Examines the role of technology in scientific publishing, replication studies, and dataset curation
Introduction to Digital Speech Processing
Author: Lawrence R. Rabiner
Publisher: Now Publishers Inc
ISBN: 1601980701
Category : Computers
Languages : en
Pages : 212
Book Description
Provides the reader with a practical introduction to the wide range of important concepts that comprise the field of digital speech processing. Students of speech research and researchers working in the field can use this as a reference guide.
Publisher: Now Publishers Inc
ISBN: 1601980701
Category : Computers
Languages : en
Pages : 212
Book Description
Provides the reader with a practical introduction to the wide range of important concepts that comprise the field of digital speech processing. Students of speech research and researchers working in the field can use this as a reference guide.
Text Mining of Web-Based Medical Content
Author: Amy Neustein
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1614513902
Category : Computers
Languages : en
Pages : 286
Book Description
• Includes Text Mining and Natural Language Processing Methods for extracting information from electronic health records and biomedical literature. • Analyzes text analytic tools for new media such as online forums, social media posts, tweets and video sharing. • Demonstrates how to use speech and audio technologies for improving access to online content for the visually impaired. Text Mining of Web-Based Medical Content examines various approaches to deriving high quality information from online biomedical literature, electronic health records, query search terms, social media posts and tweets. Using some of the latest empirical methods of knowledge extraction, the authors show how online content, generated by both professionals and laypersons, can be mined for valuable information about disease processes, adverse drug reactions not captured during clinical trials, and tropical fever outbreaks. Additionally, the authors show how to perform infromation extraction on a hospital intranet, how to build a social media search engine to glean information about patients' own experiences interacting with healthcare professionals, and how to improve access to online health information. This volume provides a wealth of timely material for health informatic professionals and machine learning, data mining, and natural language researchers. Topics in this book include: • Mining Biomedical Literature and Clinical Narratives • Medication Information Extraction • Machine Learning Techniques for Mining Medical Search Queries • Detecting the Level of Personal Health Information Revealed in Social Media • Curating Layperson’s Personal Experiences with Health Care from Social Media and Twitter • Health Dialogue Systems for Improving Access to Online Content • Crowd-based Audio Clips to Improve Online Video Access for the Visually Impaired • Semantic-based Visual Information Retrieval for Mining Radiographic Image Data • Evaluating the Importance of Medical Terminology in YouTube Video Titles and Descriptions
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1614513902
Category : Computers
Languages : en
Pages : 286
Book Description
• Includes Text Mining and Natural Language Processing Methods for extracting information from electronic health records and biomedical literature. • Analyzes text analytic tools for new media such as online forums, social media posts, tweets and video sharing. • Demonstrates how to use speech and audio technologies for improving access to online content for the visually impaired. Text Mining of Web-Based Medical Content examines various approaches to deriving high quality information from online biomedical literature, electronic health records, query search terms, social media posts and tweets. Using some of the latest empirical methods of knowledge extraction, the authors show how online content, generated by both professionals and laypersons, can be mined for valuable information about disease processes, adverse drug reactions not captured during clinical trials, and tropical fever outbreaks. Additionally, the authors show how to perform infromation extraction on a hospital intranet, how to build a social media search engine to glean information about patients' own experiences interacting with healthcare professionals, and how to improve access to online health information. This volume provides a wealth of timely material for health informatic professionals and machine learning, data mining, and natural language researchers. Topics in this book include: • Mining Biomedical Literature and Clinical Narratives • Medication Information Extraction • Machine Learning Techniques for Mining Medical Search Queries • Detecting the Level of Personal Health Information Revealed in Social Media • Curating Layperson’s Personal Experiences with Health Care from Social Media and Twitter • Health Dialogue Systems for Improving Access to Online Content • Crowd-based Audio Clips to Improve Online Video Access for the Visually Impaired • Semantic-based Visual Information Retrieval for Mining Radiographic Image Data • Evaluating the Importance of Medical Terminology in YouTube Video Titles and Descriptions
Voice Technologies for Speech Reconstruction and Enhancement
Author: Hemant A. Patil
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1501501305
Category : Technology & Engineering
Languages : en
Pages : 249
Book Description
The book explores new ways to reconstruct and enhance speech that is compromised by various neuro-motor disorders – collectively known as “dysarthria.” The authors address some of the extant lacunae in speech research of dysarthric conditions: they show how new methods can improve speaker recognition when speech is impaired due to developmental or acquired pathologies; they present a novel multi-dimensional approach to help the speech system both assess dysarthric speech and to perform intelligibility improvement of the impaired speech; they display well-performing software solutions for developmental and acquired speech impairments, and for vocal injuries; and they examine non-acoustic signals and muted nonverbal sounds in relation to audible speech conversion.
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 1501501305
Category : Technology & Engineering
Languages : en
Pages : 249
Book Description
The book explores new ways to reconstruct and enhance speech that is compromised by various neuro-motor disorders – collectively known as “dysarthria.” The authors address some of the extant lacunae in speech research of dysarthric conditions: they show how new methods can improve speaker recognition when speech is impaired due to developmental or acquired pathologies; they present a novel multi-dimensional approach to help the speech system both assess dysarthric speech and to perform intelligibility improvement of the impaired speech; they display well-performing software solutions for developmental and acquired speech impairments, and for vocal injuries; and they examine non-acoustic signals and muted nonverbal sounds in relation to audible speech conversion.
Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021)
Author: Ajith Abraham
Publisher: Springer Nature
ISBN: 3030963020
Category : Technology & Engineering
Languages : en
Pages : 705
Book Description
This book highlights the recent research on soft computing, pattern recognition, nature-inspired computing and their various practical applications. It presents 53 selected papers from the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) and 11 papers from the 13th World Congress on Nature and Biologically Inspired Computing (NaBIC 2021), which was held online, from December 15 to 17, 2021. A premier conference in the field of soft computing, artificial intelligence and machine learning applications, SoCPaR-NaBIC 2021 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 20 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of computer science and engineering.
Publisher: Springer Nature
ISBN: 3030963020
Category : Technology & Engineering
Languages : en
Pages : 705
Book Description
This book highlights the recent research on soft computing, pattern recognition, nature-inspired computing and their various practical applications. It presents 53 selected papers from the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) and 11 papers from the 13th World Congress on Nature and Biologically Inspired Computing (NaBIC 2021), which was held online, from December 15 to 17, 2021. A premier conference in the field of soft computing, artificial intelligence and machine learning applications, SoCPaR-NaBIC 2021 brought together researchers, engineers and practitioners whose work involves intelligent systems, network security and their applications in industry. Including contributions by authors from over 20 countries, the book offers a valuable reference guide for all researchers, students and practitioners in the fields of computer science and engineering.
Articulation and Phonological Disorders
Author: John E. Bernthal
Publisher: Pearson Educacion
ISBN: 9780133061468
Category : Articulation disorders
Languages : en
Pages : 447
Book Description
A classic in the field, Articulation and Phonological Disorders: Speech Sound Disorders in Children, 7e, presents the most up-to-date perspectives on the nature, assessment, and treatment of speech sound disorders. A must-have reference, this classic book delivers exceptional coverage of clinical literature and focuses on speech disorders of unknown causes. Offering a range of perspectives, it covers the normal aspects of speech sound articulation, normal speech sound acquisition, the classification of and factors related to the presence of phonological disorders, the assessment and remediation of speech sound disorders, and phonology as it relates to language and dialectal variations. This edition features twelve manageable chapters, including a new chapter on the classification of speech sound disorders, an expanded discussion of childhood apraxia of speech, additional coverage of evidence-based practices, and a look at both motor-based and linguistically-based treatment approaches.
Publisher: Pearson Educacion
ISBN: 9780133061468
Category : Articulation disorders
Languages : en
Pages : 447
Book Description
A classic in the field, Articulation and Phonological Disorders: Speech Sound Disorders in Children, 7e, presents the most up-to-date perspectives on the nature, assessment, and treatment of speech sound disorders. A must-have reference, this classic book delivers exceptional coverage of clinical literature and focuses on speech disorders of unknown causes. Offering a range of perspectives, it covers the normal aspects of speech sound articulation, normal speech sound acquisition, the classification of and factors related to the presence of phonological disorders, the assessment and remediation of speech sound disorders, and phonology as it relates to language and dialectal variations. This edition features twelve manageable chapters, including a new chapter on the classification of speech sound disorders, an expanded discussion of childhood apraxia of speech, additional coverage of evidence-based practices, and a look at both motor-based and linguistically-based treatment approaches.