How Does Voice Recognition Work?

How Does Voice Recognition Work?

Author: Matt Anniss

Publisher: The Rosen Publishing Group

Published: 2013-12-30

Total Pages: 50

ISBN-13: 1482403978

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Explains how voice recognition technology works, how it has evolved over time, and what the technology is used for today.


Voice Recognition

Voice Recognition

Author: Richard L. Klevans

Publisher: Artech House Telecommunication

Published: 1997

Total Pages: 202

ISBN-13:

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Here's a scientific look at computer-generated speech verification and identification -- its underlying technology, practical applications, and future direction. You get a solid background in voice recognition technology to help you make informed decisions on which voice recognition-based software to use in your company or organization. It is unique in its clear explanations of mathematical concepts, as well as its full-chapter presentation of the successful new Multi-Granular Segregating System for accurate, context-free speech identification.


Dictate Your Book

Dictate Your Book

Author: Monica Leonelle

Publisher: Spaulding House

Published: 2021-01-05

Total Pages: 103

ISBN-13: 1635660270

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Ready to get on board with dictation (finally)? Like many tools that have come before it, dictation is a new and exciting opportunity to write better, faster, and smarter. But many writers still believe it's not for them. Perhaps they've tried it in the past and it hasn't worked. Or perhaps this new technology is confusing, expensive, or frustrating and that's held them back from taking advantage of it. If you're ready to take the next step and learn a new skill set that will give you a huge advantage over what other authors are doing today, grab Dictate Your Book and start working through the challenges that are holding you back from reaping the benefits of dictation. It includes: - Why you need to get started with dictation, even if you tried it before and hated it! - All of Monica’s best tips for making dictation work for you, whether you writing fiction or nonfiction - Every piece of equipment Monica recommends, plus half a dozen ways to test dictation before you buy - How to reimagine your writing process to accommodate dictation and how to get that clean draft easily - Monica’s full setup for her innovative Walk ’n Talks which helped her hit 4,000+ words per hour For authors who are ready to take their productivity to the next level, this book will help you get started!


Automatic Speech Recognition

Automatic Speech Recognition

Author: Dong Yu

Publisher: Springer

Published: 2014-11-11

Total Pages: 329

ISBN-13: 1447157796

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This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.


The Voice in the Machine

The Voice in the Machine

Author: Roberto Pieraccini

Publisher: MIT Press

Published: 2012

Total Pages: 355

ISBN-13: 0262016850

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An examination of more than sixty years of successes and failures in developing technologies that allow computers to understand human spoken language. Stanley Kubrick's 1968 film 2001: A Space Odyssey famously featured HAL, a computer with the ability to hold lengthy conversations with his fellow space travelers. More than forty years later, we have advanced computer technology that Kubrick never imagined, but we do not have computers that talk and understand speech as HAL did. Is it a failure of our technology that we have not gotten much further than an automated voice that tells us to "say or press 1"? Or is there something fundamental in human language and speech that we do not yet understand deeply enough to be able to replicate in a computer? In The Voice in the Machine, Roberto Pieraccini examines six decades of work in science and technology to develop computers that can interact with humans using speech and the industry that has arisen around the quest for these technologies. He shows that although the computers today that understand speech may not have HAL's capacity for conversation, they have capabilities that make them usable in many applications today and are on a fast track of improvement and innovation. Pieraccini describes the evolution of speech recognition and speech understanding processes from waveform methods to artificial intelligence approaches to statistical learning and modeling of human speech based on a rigorous mathematical model--specifically, Hidden Markov Models (HMM). He details the development of dialog systems, the ability to produce speech, and the process of bringing talking machines to the market. Finally, he asks a question that only the future can answer: will we end up with HAL-like computers or something completely unexpected?


SPEECH RECOGNITION: THEORY AND C++ IMPLEMENTATION (With CD )

SPEECH RECOGNITION: THEORY AND C++ IMPLEMENTATION (With CD )

Author: Claudio Becchetti

Publisher: John Wiley & Sons

Published: 2008

Total Pages: 432

ISBN-13: 9788126517749

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Special Features: · Source codes for compiling and implementing ASR algorithms in C++ are included in electronic format on an accompanying CD-ROM· Contains a practical account of the functioning of ASR· Includes implementation-oriented mathematical and technical explanations of ASR· Features a stage-by-stage explanation of how to create an ASR interface· Can be used both for teaching speech recognition techniques and testing and development of new systems on digital signal processing hardware About The Book: Automatic Speech Recognition (ASR) is becoming increasingly prevalent in such applications as private telephone exchanges and real-time on-line telephone information services. This book introduces the principles of ASR systems, including the theory and the implementation issues behind multi-speaker continuous speech ASR. The book supplies the full C++ code to further clarify the implementation details of a typical commercial/laboratory ASR system and to allow the readers to reach practical solutions for ASR-related problems.About the topic/technology Automatic Speech Recognition (ASR) is the technology behind the voice-triggered computer menus. Uses of these systems are now proliferating rapidly and include private telephone exchanges and real-time on-line telephone information services.


Techniques for Noise Robustness in Automatic Speech Recognition

Techniques for Noise Robustness in Automatic Speech Recognition

Author: Tuomas Virtanen

Publisher: John Wiley & Sons

Published: 2012-11-28

Total Pages: 514

ISBN-13: 1119970881

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Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace environments where the systems are used are noisy, for example users calling up a voice search system from a busy cafeteria or a street. This can result in degraded speech recordings and adversely affect the performance of speech recognition systems. As the use of ASR systems increases, knowledge of the state-of-the-art in techniques to deal with such problems becomes critical to system and application engineers and researchers who work with or on ASR technologies. This book presents a comprehensive survey of the state-of-the-art in techniques used to improve the robustness of speech recognition systems to these degrading external influences. Key features: Reviews all the main noise robust ASR approaches, including signal separation, voice activity detection, robust feature extraction, model compensation and adaptation, missing data techniques and recognition of reverberant speech. Acts as a timely exposition of the topic in light of more widespread use in the future of ASR technology in challenging environments. Addresses robustness issues and signal degradation which are both key requirements for practitioners of ASR. Includes contributions from top ASR researchers from leading research units in the field


Artificial Intelligence for HR

Artificial Intelligence for HR

Author: Ben Eubanks

Publisher: Kogan Page Publishers

Published: 2018-12-03

Total Pages: 241

ISBN-13: 0749483822

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HR professionals need to get to grips with artificial intelligence and the way it's changing the world of work. From using natural language processing to ensure job adverts are free from bias and gendered language to implementing chatbots to enhance the employee experience, AI has created a variety of opportunities for the HR function. Artificial Intelligence for HR empowers HR professionals to leverage this potential and use AI to improve efficiency and develop a talented and productive workforce. Outlining the current technology landscape as well as the latest AI developments, this book ensures that HR professionals fully understand what AI is and what it means for HR in practice. Covering everything from recruitment and retention to employee engagement and learning and development, Artificial Intelligence for HR outlines the value AI can add to HR. It also features discussions on the challenges that can arise from AI and how to deal with them, including data privacy, algorithmic bias and how to develop the skills of a workforce with the rise of automation, robotics and machine learning in order to make it more human, not less. Packed with practical advice, research and case studies from global organizations including Uber, IBM and Unilever, this book will equip HR professionals with the knowledge they need to leverage AI to recruit and develop a successful workforce and help their businesses thrive in the future.


Fundamentals of Speaker Recognition

Fundamentals of Speaker Recognition

Author: Homayoon Beigi

Publisher: Springer Science & Business Media

Published: 2011-12-09

Total Pages: 984

ISBN-13: 0387775927

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An emerging technology, Speaker Recognition is becoming well-known for providing voice authentication over the telephone for helpdesks, call centres and other enterprise businesses for business process automation. "Fundamentals of Speaker Recognition" introduces Speaker Identification, Speaker Verification, Speaker (Audio Event) Classification, Speaker Detection, Speaker Tracking and more. The technical problems are rigorously defined, and a complete picture is made of the relevance of the discussed algorithms and their usage in building a comprehensive Speaker Recognition System. Designed as a textbook with examples and exercises at the end of each chapter, "Fundamentals of Speaker Recognition" is suitable for advanced-level students in computer science and engineering, concentrating on biometrics, speech recognition, pattern recognition, signal processing and, specifically, speaker recognition. It is also a valuable reference for developers of commercial technology and for speech scientists. Please click on the link under "Additional Information" to view supplemental information including the Table of Contents and Index.