Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions (The Addison-Wesley Signature Series)
by Gregor Hohpe
from Addison-Wesley Professional
Dragon NaturallySpeaking for Dummies
by David C. Kay
from For Dummies
Free at last! Finally, someone has come along to free you from your keyboard. With Dragon NaturallySpeaking, the miraculous voice-recognition software in your computer, you can browse the Web, control your applications, control your desktop, write documents, and more without ever once laying finger to plastic. But don’t run out and get yourself fitted for that Star Fleet uniform just yet, cadet. Dragon NaturallySpeaking is the most accurate voice recognition software on the market, and while it really does deliver on all its claims, it can be very finicky, and getting top results can be tricky.
The complete guide to the care of feeding or your Dragon, Dragon NaturallySpeaking For Dummies is a must-have companion for voice-recognition trailblazers who are ready to:
- Kiss that keyboard goodbye and say hello to hands-free computing
- Verbally control your Windows desktop and most applications
- Dictate, edit, format and proofread documents in Word and WordPerfect
- Browse the Web and compose and send email by voice
- Use a pocket digital recorder on the run
Here’s all you need to fire up your Dragon and get it dancing to your tune. Your total guide to installing, configuring, fine-tuning and getting the most out of that amazing voice recognition software, Dragon NaturallySpeaking For Dummies covers all the bases, including:
- Installing, configuring, and launching your Dragon
- Dictating, editing, proofreading, and formatting documents in NaturallySpeaking
- Recording speech onto the NaturallySpeaking recorder and transcribing recorded speech
- Dictating into other applications
- Controlling your desktop and windows by voice
- Using NaturalWord for Word and WordPerfect
- Browsing the Web, emailing and faxing by voice
- Managing databases hands-free
- Maximizing voice recognition accuracy
- Having multiple users and vocabularies
- Adding specialized items and verbal shortcuts to Dragon’s vocabulary
With the introduction of Dragon NaturallySpeaking the old dream of hands-free computing has finally become reality. Now let Dragon NaturallySpeaking For Dummies show you how to give your Dragon wings and make it soar.
Speech and Language Processing (2nd Edition) (Prentice Hall Series in Artificial Intelligence)
by Daniel Jurafsky
from Prentice Hall
An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology – at all levels and with all modern technologies – this book takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. Builds each chapter around one or more worked examples demonstrating the main idea of the chapter, usingthe examples to illustrate the relative strengths and weaknesses of various approaches. Adds coverage of statistical sequence labeling, information extraction, question answering and summarization, advanced topics in speech recognition, speech synthesis. Revises coverage of language modeling, formal grammars, statistical parsing, machine translation, and dialog processing. A useful reference for professionals in any of the areas of speech and language processing.
Speech Enhancement: Theory and Practice (Signal Processing and Communications)
by Philipos C. Loizou
from CRC
The first book to provide comprehensive and up-to-date coverage of all major speech enhancement algorithms proposed in the last two decades, Speech Enhancement: Theory and Practice is a valuable resource for experts and newcomers in the field. The book covers traditional speech enhancement algorithms, such as spectral subtraction and Wiener filtering algorithms as well as state-of-the-art algorithms including minimum mean-squared error algorithms that incorporate signal-presence uncertainty and subspace algorithms that incorporate psychoacoustic models. The coverage includes objective and subjective measures used to evaluate speech quality and intelligibility. Divided into three parts, the book presents the digital-signal processing and speech signal fundamentals needed to understand speech enhancement algorithms, the various classes of speech enhancement algorithms proposed over the last two decades, and the methods and measures used to evaluate the performance of speech enhancement algorithms. The text is supplemented with examples and figures designed to help readers understand the theory. MATLAB® implementations of all major speech enhancement algorithms and a speech database that can be used for evaluation of noise reduction algorithms are included in an accompanying DVD-ROM. Providing clear and concise coverage of the subject, the author brings together a large body of knowledge about how human listeners compensate for acoustic noise when in noisy environments. This book is a valuable resource not only for engineers who want to implement the latest speech enhancement algorithms but also for speech practitioners who want to incorporate some of these algorithms into hearing aid applications for speech intelligibility and/or quality improvement.
Pro Microsoft Speech Server 2007: Developing Speech Enabled Applications with .NET (Pro)
by Michael Dunn
from Apress
Microsoft Speech Server is becoming increasingly popular. There are three primary components developers wanting to develop speech applications need to be familiar with: the Speech SDK, Telephony, and ASP.NET server controls. Each of these can be used independently, but in many cases, all three need to be used to build truly compelling applications.
Pro Microsoft Speech Server 2007 walks intermediate to advanced developers through the basics of speech and telephony technology. It then addresses Microsofts specific implementations and what it can do for most companies. From there, the specific components are discussed individually in depth. Youll create an application from scratch, building upon an existing web site, but adding brand new functionality as well. All of the issues associated with setup, security and administration, development, debugging, and deployment are included in the walkthroughs.
Statistical Methods for Speech Recognition (Language, Speech, and Communication)
by Frederick Jelinek
from The MIT Press
This book reflects decades of important research on the mathematical foundations of speech recognition. It focuses on underlying statistical techniques such as hidden Markov models, decision trees, the expectation-maximization algorithm, information theoretic goodness criteria, maximum entropy probability estimation, parameter and data clustering, and smoothing of probability distributions. The author's goal is to present these principles clearly in the simplest setting, to show the advantages of self-organization from real data, and to enable the reader to apply the techniques.
Spoken Language Processing: A Guide to Theory, Algorithm and System Development
by Xuedong Huang
from Prentice Hall PTR
Computer Speech: Recognition, Compression, Synthesis (Springer Series in Information Sciences)
by Manfred R. Schroeder
from Springer
This new edition of Computer Speech is an introduction to multimedia speech applications that is also suitable for nonspecialists. New material treats such contemporary subjects as automatic speech recognition and speaker verification for banking by computer and privileged (medical, military, diplomatic) information and control access. The book also focuses on speech and audio compression for mobile communication and the Internet. The importance of subjective quality criteria is stressed. A brief history of speech research summarizes the development from the first talking machines in 18th-century Europe to modern x-ray methods of articulatory analysis. The book also contains introductions to human monaural and binaural hearing, and the basic concepts of signal analysis. Beyond speech processing, this revised and extended new edition of Computer Speech gives an overview of natural language technology and presents the nuts and bolts of state-of-the-art speech dialogue systems.
Fundamentals of Speech Recognition (Prentice Hall Signal Processing Series)
by Lawrence Rabiner
from Prentice Hall PTR
Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition (Prentice Hall Series in Artificial Intelligence)
by Daniel Jurafsky
from Prentice Hall
This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora.Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.
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