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Examines various speech technologies deployed in healthcare service robots to maximize the robot's ability to interpret user input. Demonstrates how robot anthropomorphic features and etiquette in behavior promotes user-positive emotions, acceptance of robots, and compliance with robot requests. Analyzes how multimodal medical-service robots and other cyber-physical systems can reduce mistakes and mishaps in the operating room. Evaluates various input methods for improving acceptance of robots in the older adult population. Presents case studies of cognitively and socially engaging robots in the long-term care setting for helping older adults with activities of daily living and in the pediatric setting for helping children with autism spectrum conditions and metabolic disorders. Speech and Automata in Health Care forges new ground by closely analyzing how three separate disciplines - speech technology, robotics, and medical/surgical/assistive care - intersect with one another, resulting in an innovative way of diagnosing and treating both juvenile and adult illnesses and conditions. This includes the use of speech-enabled robotics to help the elderly population cope with common problems associated with aging caused by the diminution in their sensory, auditory and motor capabilities. By examining the emerging nexus of speech, automata, and health care, the authors demonstrate the exciting potential of automata, both speech-driven and multimodal, to affect the healthcare delivery system so that it better meets the needs of the populations it serves. This book provides both empirical research findings and incisive literature reviews that demonstrate some of the more novel uses of speech-enabled and multimodal automata in the operating room, hospital ward, long-term care facility, and in the home. Studies backed by major universities, research institutes, and by EU-funded collaborative projects are debuted in this volume. This volume provides a wealth of timely material for industrial engineers, speech scientists, computational linguists, and for signal processing and intelligent systems design experts. Topics include: Spoken Interaction with Healthcare Robots Service Robot Feature Effects on Patient Acceptance/Emotional Response Designing Embodied and Virtual Agents for the Operating Room The Emerging Role of Robotics for Personal Health Management in the Older-Adult Population Why Input Methods for Robots that Serve the Older Adult Are Critical for Usability Socially and Cognitively Engaging Robots in the Long-Term Care Setting Voice-Enabled Assistive Robots for Managing Autism Spectrum Conditions ASR and TTS for Voice-Controlled Robot Interactions in Treating Children with Metabolic Disorders
Robotics in medicine --- Human-computer interaction --- User interfaces (Computer systems) --- Speech processing systems --- Artificial Intelligence --- Human Engineering --- Electronics --- Investigative Techniques --- Patient Care Management --- Software --- Automation --- Health Care Quality, Access, and Evaluation --- Technology --- Computing Methodologies --- Health Care --- Health Services Administration --- Engineering --- Psychology, Applied --- Physics --- Technology, Industry, and Agriculture --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Information Science --- Psychological Phenomena and Processes --- Natural Science Disciplines --- Technology, Industry, Agriculture --- Disciplines and Occupations --- Psychiatry and Psychology --- Robotics --- Man-Machine Systems --- Delivery of Health Care --- Methods --- User-Computer Interface --- Speech Recognition Software --- Health & Biological Sciences --- Biomedical Engineering --- Robotics in medicine. --- Human-computer interaction. --- Speech processing systems. --- Interfaces, User (Computer systems) --- Computer-human interaction --- Human factors in computing systems --- Interaction, Human-computer --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Human-machine systems --- Human engineering --- User-centered system design --- Medicine --- assistive robots, robot companions. --- human-robot interaction. --- speech automata. --- speech processing.
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• 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 information 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:• Clinical Documents in Electronic Health Records• Summarization Techniques for Online Health Data• Natural Language Processing for Text Mining• Query Expansion Techniques for Tweets• Online Video Data Retrieval of Health-Related Videos• Dengue Fever Outbreaks• Bioemergencies and Social Media Posts• Speech-based Disease Screening for Malaria, Yellow Fever, Typhoid, and Lassa Fever• Audio Access to Online Video Data for the Visually Impaired • 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 information 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
Data mining. --- Medicine --- Internet. --- Medical informatics. --- Clinical informatics --- Health informatics --- Medical information science --- Information science --- DARPA Internet --- Internet (Computer network) --- Wide area networks (Computer networks) --- World Wide Web --- Health Workforce --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Research. --- Data processing --- Electronic Health Records. --- Health Mapping Tools. --- Health-Related Videos. --- Relationship Extraction Techniques. --- Speech Processing. --- Speech-Enabled Web Content. --- Summarization Techniques.
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Advances in Speech Recognition provides a forum for today’s speech technology industry leaders – drawn from private enterprise and from academic institutions all over the world – to discuss the challenges, advances and aspirations of voice technology, which has become part of the working machinery of everyday life for consumers, corporations and healthcare providers both in the military and in the private sector. This anthology is divided into three sections – mobile environments, call centers and clinics – representing the research findings of over 30 industry experts: speech engineers, system designers, linguists, IT (information technology) and MIS (management information systems) specialists. Advances in Speech Recognition is introduced by speech industry icons Judith Markowitz and Bill Scholz who jointly wrote the book’s foreword. The book ends with a powerful coda by Jim Larson, who brilliantly forecasts in his epilogue the promises and, sometimes, the perils of advanced speech recognition technology. Advances in Speech Recognition is a useful book for speech software developers, speech engineers and others in the field of speech technology.
Programming --- Computer. Automation --- DIP (documentimage processing) --- beeldverwerking --- NLP (neurolinguïstisch programmeren) --- spraaktechnologie --- informatica --- signaalverwerking --- interfaces
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"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."--
Medical care --- Data processing. --- Data integration (Computer science) --- COVID-19 (Disease) --- Cancer --- Cardiovascular system --- Treatment. --- Diseases --- Data Curation --- Medical Informatics --- Neoplasms --- COVID-19 --- Cardiovascular Diseases --- therapy
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Where Humans Meet Machines: Innovative Solutions for Knotty Natural-Language Problems brings humans and machines closer together by showing how linguistic complexities that confound the speech systems of today can be handled effectively by sophisticated natural-language technology. Some of the most vexing natural-language problems that are addressed in this book entail recognizing and processing idiomatic expressions, understanding metaphors, matching an anaphor correctly with its antecedent, performing word-sense disambiguation, and handling out-of-vocabulary words and phrases. This fourteen-chapter anthology consists of contributions from industry scientists and from academicians working at major universities in North America and Europe. They include researchers who have played a central role in DARPA-funded programs and developers who craft real-world solutions for corporations. These contributing authors analyze the role of natural language technology in the global marketplace; they explore the need for natural language mapping-tools that can cull important data from the vast array of social-media postings; they describe innovative Natural Language Processing (NLP) methods and applications; and they offer NLP tools for physicians, educators, and translators. Their contributions constitute diverse and multifaceted solutions for the knotty natural-language problems that permeate everyday human communications. Where Humans Meet Machines: Innovative Solutions for Knotty Natural-Language Problems is designed for speech engineers, system developers, computer scientists, AI researchers, and others interested in utilizing natural-language technology in both spoken and text-based applications. .
Database management. --- Natural language processing (Computer science). --- Parsing (Computer grammar). --- Semantic computing. --- Natural language processing (Computer science) --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Electrical Engineering --- Telecommunications --- Applied Physics --- Computational linguistics. --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- NLP (Computer science) --- Data processing --- Engineering. --- Machinery. --- Power electronics. --- Signal, Image and Speech Processing. --- Computational Linguistics. --- Machinery and Machine Elements. --- Power Electronics, Electrical Machines and Networks. --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Production of electric energy or. --- Construction --- Industrial arts --- Technology --- Signal processing. --- Image processing. --- Speech processing systems. --- Electronics, Power --- Electric power --- Electronics --- Machinery --- Machines --- Manufactures --- Power (Mechanics) --- Mechanical engineering --- Motors --- Power transmission --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Curious devices
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Forensic Speaker Recognition: Law Enforcement and Counter-Terrorism is an anthology of the research findings of 35 speaker recognition experts from around the world. The volume provides a multidimensional view of the complex science involved in determining whether a suspect’s voice truly matches forensic speech samples, collected by law enforcement and counter-terrorism agencies, that are associated with the commission of a terrorist act or other crimes. While addressing such topics as the challenges of forensic case work, handling speech signal degradation, analyzing features of speaker recognition to optimize voice verification system performance, and designing voice applications that meet the practical needs of law enforcement and counter-terrorism agencies, this material all sounds a common theme: how the rigors of forensic utility are demanding new levels of excellence in all aspects of speaker recognition. The contributors are among the most eminent scientists in speech engineering and signal processing; and their work represents such diverse countries as Switzerland, Sweden, Italy, France, Japan, India and the United States. Forensic Speaker Recognition is a useful book for forensic speech scientists, speech signal processing experts, speech system developers, criminal prosecutors and counter-terrorism intelligence officers and agents.
Automatic speech recognition. --- Forensic sciences. --- Forensic sciences --- Automatic speech recognition --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Social Welfare & Social Work --- Social Sciences --- Telecommunications --- Criminology, Penology & Juvenile Delinquency --- Applied Physics --- Electrical Engineering --- Voiceprints. --- Voice prints --- Voiceprinting --- Engineering. --- Computational linguistics. --- Linguistics. --- Signal, Image and Speech Processing. --- Language Translation and Linguistics. --- Linguistics, general. --- Identification
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Mobile Speech and Advanced Natural Language Solutions provides a comprehensive and forward-looking treatment of natural speech in the mobile environment. This fourteen-chapter anthology brings together lead scientists from Apple, Google, IBM, AT&T, Yahoo! Research and other companies, along with academicians, technology developers and market analysts. They analyze the growing markets for mobile speech, new methodological approaches to the study of natural language, empirical research findings on natural language and mobility, and future trends in mobile speech. Mobile Speech opens with a challenge to the industry to broaden the discussion about speech in mobile environments beyond the smartphone, to consider natural language applications across different domains. Among the new natural language methods introduced in this book are Sequence Package Analysis, which locates and extracts valuable opinion-related data buried in online postings; microintonation as a way to make TTS truly human-like; and several models of truly-intelligent mobile personal-assistants. The empirical studies in this volume include two grounding frameworks for designing mobile interfaces capable of engaging in human-like interaction with users. The book concludes with a discussion of “supernatural dialogues” that blend music, space, and other domains with traditional elements of natural language processing. Mobile Speech and Advanced Natural Language Solutions is designed for speech engineers, system developers, linguists, cognitive scientists, and others interested in utilizing natural-language technology in diverse applications.
Artificial intelligence -- Computer programs. --- Artificial intelligence. --- Automatic speech recognition. --- Mobile computing. --- Automatic speech recognition --- Natural language processing (Computer science) --- Mobile computing --- Engineering & Applied Sciences --- Electrical & Computer Engineering --- Applied Physics --- Electrical Engineering --- Telecommunications --- NLP (Computer science) --- Mechanical speech recognizer --- Speech recognition, Automatic --- Engineering. --- Computational linguistics. --- Machinery. --- Power electronics. --- Signal, Image and Speech Processing. --- Computational Linguistics. --- Machinery and Machine Elements. --- Power Electronics, Electrical Machines and Networks. --- Electronic data processing --- Context-aware computing --- Portable computers --- Artificial intelligence --- Human-computer interaction --- Semantic computing --- Pattern recognition systems --- Perceptrons --- Speech, Intelligibility of --- Speech perception --- Speech processing systems --- Production of electric energy or. --- Construction --- Industrial arts --- Technology --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Mathematical linguistics --- Multilingual computing --- Data processing --- Signal processing. --- Image processing. --- Speech processing systems. --- Electronics, Power --- Electric power --- Electronics --- Machinery --- Machines --- Manufactures --- Power (Mechanics) --- Mechanical engineering --- Motors --- Power transmission --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Curious devices
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Advances in Speech Recognition provides a forum for today's speech technology industry leaders - drawn from private enterprise and from academic institutions all over the world - to discuss the challenges, advances and aspirations of voice technology, which has become part of the working machinery of everyday life for consumers, corporations and healthcare providers both in the military and in the private sector. This anthology is divided into three sections - mobile environments, call centers and clinics - representing the research findings of over 30 industry experts: speech engineers, system designers, linguists, IT (information technology) and MIS (management information systems) specialists. Advances in Speech Recognition is introduced by speech industry icons Judith Markowitz and Bill Scholz who jointly wrote the book's foreword. The book ends with a powerful coda by Jim Larson, who brilliantly forecasts in his epilogue the promises and, sometimes, the perils of advanced speech recognition technology. Advances in Speech Recognition is a useful book for speech software developers, speech engineers and others in the field of speech technology.
Programming --- Computer. Automation --- DIP (documentimage processing) --- beeldverwerking --- NLP (neurolinguïstisch programmeren) --- spraaktechnologie --- informatica --- signaalverwerking --- interfaces
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