Windows Speech Recognition Programming PDF Download
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Author: Keith A. Jones
Publisher: iUniverse
ISBN: 0595308430
Category : Automatic speech recognition
Languages : en
Pages : 0
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Book Description
Speech software has been a hot topic in the computer industry for as long as there have been computers. Computer speech has been around in one form or another for over 30 years, but early speech software could only run on very big and expensive computer hardware. Thanks to Microsoft, the size of your computer is no longer a major limitation to computer speech. Just like with so many other computer technologies, it took Microsoft to make speech software easy to program, and even easier for PC users to use speech to control their Windows software applications. With Windows Visual Basic ActiveX Voice Control Automation Services, Speech API (SAPI) and Speech Suite Software Development Kit (SDK), complex computer speech synthesis, and even speech recognition, has become more accessible to all programmers for use in their multi-media business, education and recreational applications. This book offers the reader a detailed exploration of Windows Speech Automation Services via Visual Basic ActiveX Voice Controls available in MS Speech API Versions 4.0 to 5.1, as well as third-party SAPI vendor SDKs such as IBM ViaVoice and Dragon NatSpeak. It provides a thorough introduction to Windows Speech Recognition Programming for beginning as well as advanced programmers.
Author: Keith A. Jones
Publisher: iUniverse
ISBN: 0595308430
Category : Automatic speech recognition
Languages : en
Pages : 0
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Book Description
Speech software has been a hot topic in the computer industry for as long as there have been computers. Computer speech has been around in one form or another for over 30 years, but early speech software could only run on very big and expensive computer hardware. Thanks to Microsoft, the size of your computer is no longer a major limitation to computer speech. Just like with so many other computer technologies, it took Microsoft to make speech software easy to program, and even easier for PC users to use speech to control their Windows software applications. With Windows Visual Basic ActiveX Voice Control Automation Services, Speech API (SAPI) and Speech Suite Software Development Kit (SDK), complex computer speech synthesis, and even speech recognition, has become more accessible to all programmers for use in their multi-media business, education and recreational applications. This book offers the reader a detailed exploration of Windows Speech Automation Services via Visual Basic ActiveX Voice Controls available in MS Speech API Versions 4.0 to 5.1, as well as third-party SAPI vendor SDKs such as IBM ViaVoice and Dragon NatSpeak. It provides a thorough introduction to Windows Speech Recognition Programming for beginning as well as advanced programmers.
Author: Dong Yu
Publisher: Springer
ISBN: 1447157796
Category : Technology & Engineering
Languages : en
Pages : 329
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Book Description
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.
Author: Larry Carlson
Publisher: Lulu.com
ISBN: 0359115810
Category :
Languages : en
Pages : 208
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Book Description
Author: Xiadong He
Publisher: Springer Nature
ISBN: 3031025571
Category : Technology & Engineering
Languages : en
Pages : 112
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Book Description
In this book, we introduce the background and mainstream methods of probabilistic modeling and discriminative parameter optimization for speech recognition. The specific models treated in depth include the widely used exponential-family distributions and the hidden Markov model. A detailed study is presented on unifying the common objective functions for discriminative learning in speech recognition, namely maximum mutual information (MMI), minimum classification error, and minimum phone/word error. The unification is presented, with rigorous mathematical analysis, in a common rational-function form. This common form enables the use of the growth transformation (or extended Baum–Welch) optimization framework in discriminative learning of model parameters. In addition to all the necessary introduction of the background and tutorial material on the subject, we also included technical details on the derivation of the parameter optimization formulas for exponential-family distributions, discrete hidden Markov models (HMMs), and continuous-density HMMs in discriminative learning. Selected experimental results obtained by the authors in firsthand are presented to show that discriminative learning can lead to superior speech recognition performance over conventional parameter learning. Details on major algorithmic implementation issues with practical significance are provided to enable the practitioners to directly reproduce the theory in the earlier part of the book into engineering practice. Table of Contents: Introduction and Background / Statistical Speech Recognition: A Tutorial / Discriminative Learning: A Unified Objective Function / Discriminative Learning Algorithm for Exponential-Family Distributions / Discriminative Learning Algorithm for Hidden Markov Model / Practical Implementation of Discriminative Learning / Selected Experimental Results / Epilogue / Major Symbols Used in the Book and Their Descriptions / Mathematical Notation / Bibliography
Author: Jinyu Li
Publisher: Academic Press
ISBN: 0128026162
Category : Technology & Engineering
Languages : en
Pages : 306
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Book Description
Robust Automatic Speech Recognition: A Bridge to Practical Applications establishes a solid foundation for automatic speech recognition that is robust against acoustic environmental distortion. It provides a thorough overview of classical and modern noise-and reverberation robust techniques that have been developed over the past thirty years, with an emphasis on practical methods that have been proven to be successful and which are likely to be further developed for future applications. The strengths and weaknesses of robustness-enhancing speech recognition techniques are carefully analyzed. The book covers noise-robust techniques designed for acoustic models which are based on both Gaussian mixture models and deep neural networks. In addition, a guide to selecting the best methods for practical applications is provided. The reader will: Gain a unified, deep and systematic understanding of the state-of-the-art technologies for robust speech recognition Learn the links and relationship between alternative technologies for robust speech recognition Be able to use the technology analysis and categorization detailed in the book to guide future technology development Be able to develop new noise-robust methods in the current era of deep learning for acoustic modeling in speech recognition The first book that provides a comprehensive review on noise and reverberation robust speech recognition methods in the era of deep neural networks Connects robust speech recognition techniques to machine learning paradigms with rigorous mathematical treatment Provides elegant and structural ways to categorize and analyze noise-robust speech recognition techniques Written by leading researchers who have been actively working on the subject matter in both industrial and academic organizations for many years
Author: Daniel Newman
Publisher: Waveside Publishing
ISBN: 9780967038933
Category : Computers
Languages : en
Pages : 210
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Book Description
This introductory guide explains what speech recognition software is, how it works and how to maximize its benefits. Readers learn how to send e-mail and search the Web by voice, and how to streamline computer work with time-saving ideas. Reviews on every speech recognition product on the market also are included.
Author: Calais J. Ingel
Publisher:
ISBN: 9780615525501
Category : Business & Economics
Languages : en
Pages : 310
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Book Description
Ingel presents two variations of the speech recognition software--the "hands-free" method using speech only, and the "combination method," leveraging the advantages of both speech recognition techniques and traditional manual techniques.
Author: David Pogue
Publisher: "O'Reilly Media, Inc."
ISBN: 1449388876
Category : Computers
Languages : en
Pages : 909
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Book Description
In early reviews, geeks raved about Windows 7. But if you're an ordinary mortal, learning what this new system is all about will be challenging. Fear not: David Pogue's Windows 7: The Missing Manual comes to the rescue. Like its predecessors, this book illuminates its subject with reader-friendly insight, plenty of wit, and hardnosed objectivity for beginners as well as veteran PC users. Windows 7 fixes many of Vista's most painful shortcomings. It's speedier, has fewer intrusive and nagging screens, and is more compatible with peripherals. Plus, Windows 7 introduces a slew of new features, including better organization tools, easier WiFi connections and home networking setup, and even touchscreen computing for those lucky enough to own the latest hardware. With this book, you'll learn how to: Navigate the desktop, including the fast and powerful search function Take advantage of Window's apps and gadgets, and tap into 40 free programs Breeze the Web with Internet Explorer 8, and learn the email, chat, and videoconferencing programs Record TV and radio, display photos, play music, and record any of these to DVD using the Media Center Use your printer, fax, laptop, tablet PC, or smartphone with Windows 7 Beef up your system and back up your files Collaborate and share documents and other files by setting up a workgroup network
Author: David Pogue
Publisher: "O'Reilly Media, Inc."
ISBN: 0596528272
Category : Computers
Languages : en
Pages : 848
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Book Description
Microsoft's Windows Vista is the much-anticipated successor to the Windows XP operating system. David Pogue offers help for using the system with this manual.
Author: Malcolm McPherson
Publisher: Springer Science & Business Media
ISBN: 1447103858
Category : Computers
Languages : en
Pages : 123
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Book Description
A new generation of speech-driven personal computer systems promises to transform the business use of Information Technology. This is not merely a matter of discarding the keyboard, but of rethinking business processes to take advantage of the increased productivity that speech-driven systems can bring. Malcolm McPherson is one of the pioneers of this fast-moving field, and has been personally involved in the development of systems that have met business needs across many industrial sectors.
