Automatic-Data-Processing

This book not only covers Dragon NaturallySpeaking software but also offers several tips and examples on efficient speech recognition. The material is presented in such interesting fashion that makes this book fun to read. If you own Dragon NaturallySpeaking software, this book is a must to have.

This is a really helpful book. I would prefer to read and Dan Newman's book than all the technical stuff in the Dragon manual, because it is so much more user-friendly. I have been using Dragon NaturallySpeaking since it came out in 1995. There is so much to know, and so much you can forget!! By reading this book, I am remembering some very useful tips, and learning some new ones. I would recommend this book to anyone using NaturallySpeaking.

I used Dragon to first-draft Writing Nonfiction: Turning Thoughts Into Books. I was so impressed with the system, I included a chapter on using speech recognition to dictate a how-to book. Then I found Dan Newman's book. I recognized a number of things I had learned and found a whole lot more. Newman made the Dragon even more fun.

If you write a lot and are not an accurate, rapid typist, get speech recognition software. If you are fast and correct, keep on keyboarding. Dragon is good but you will have to make corrections. If you already make mistakes, it does not matter if you talk or type.

Dan Newman takes you step-by-step through using Dragon Naturally Speaking. (For coverage, click on Table of Contents in the left-hand column of this page.) He even includes trouble-shooting tips and resources.

Dan Newman is a great writer, gifted computer expert and a dedicated teacher.

As the author of 113 books (including revisions and foreign-language editions) and over 500 magazine articles, I highly recommend this book to anyone who has to write a lot. DanPoynter@ParaPublishing.com.

This book really brings together every aspect of converged network architecture in one place. From voice communication networks to data networks to voice packet processing to a softswitch model for IP, this book has it all.

If you read Ibe's ATM book and like it get ready because you are going to LOVE this book even more. Dr.IBE knows his staff.

If you are a technical person this book will became your bible. If you are not a technical person this book will make you feel as if you were technical but most important will help you understand the subject in not time. (SALES, Managers, QA... Guys take note).

I do not know how he does it but a difficult subjects become clear after he explains them. I been following his writing and I must say that there is no one in my opinion who can explain complicated subjects the way he does. Check his ATM book and you will understand what I mean.

WELL DONE IBE...

This is a great book that goes beyond VoIP. It covers all major network architectures, and the latest enabling protocols like SIP, H.323, MPLS, and H.248. I found the discussions of Voice packet processing and Access schemes particularly helpful.

Blade Kotelly is the one person in voice design whose attention to the human possibilities of a well-designed voice user interface provides assurance that humanizing our machines will not mechanize humanity. This treatment does not, however, merely try to convince aspiring designers to make their interfaces sound human. It illustrates how a designer can avoid ambiguity, aim for the most graceful styles of retries and error recovery, and how emotive responses can help to implicitly communicate the system's capabilities and limitations without requiring lengthy, explicit descriptions to be read out.

Though they are sometimes subtle, the issues and solutions outlined here are broadly explained, and this fosters an appreciation of each and leaves readers better equipped to anticipate where the next one may lie.

Kotelly is not delivering a text book which seeks to catalog countless dos and don'ts of design. Rather, he takes what I feel is the proper tack of showing by example how problems arise and listing not one, but a variety of choices a designer could make to avoid the problem. The result is not a series of commandments, but a richly illustrated outline of a well-developed philosophy of design and depiction. The work, I feel, helps the reader to appreciate the impulses that shaped Kotelly's leading work in the field, and to promote in him/her a sense of how they can develop their own affinity for designing systems that work efficiently and are received warmly.

If you truly think that a book will help you break into this field or expand your mastery within it, this is an excellent choice. It will inform you and prompt you to think well beyond the content it directly offers. It is perfect to get you thinking more passionately and expansively of what is possible in voice user interface design.

Speech recognition as a commercial product is still very new. In 1988, when I was first involved with it, the state of the art did not involve real time capability. You had to record the utterance and then analyse it with a computer. Typically, you also had to train the software with the speaker beforehand.

Now, we have commercially available real time, speaker independent products. Some of the largest companies, like United Airlines and ATT, have deployed these, to try and reduce call centre costs, and to improve the user's experience when dialling into such a place. Are you considering installing such software? Of course, you can talk to the vendors. But where can you get objective advice? One possibility is to ask researchers in the field. But they can easily and inadvertantly drown you in jargon, especially if you do not have a technical background. This book attempts to fill that need. You do not need a degree in computer science or maths to understand it.

The book does not explain how speech recognition works. Rather the emphasis is at a higher level: Using it in your workplace. The author gives many lucid examples of this. Basically, he outlines a commonsensical appproach that can be understood by anybody. He explains how not to overburden the user with long utterances full of information, but to take advantage of the context of the conversation to omit unnecessary details. He emphasises thorough testing, with a disciplined scaling up to a real life deployment in a call centre. Something that may well have been omitted in other deployments, leading to users gnashing their teeth in frustration at an obtuse dialog, or at busy phone lines.

He also discusses why companies should regard this as part of their corporate branding, and how to choose an appropriate "noble" voice as part of that branding. I think the "noble" sounds rather pompous, actually. But that's not his fault! It is a standard phrase in this field, and you too might get used to it.

I seldom write reviews for books on Amazon, but I just had to do it for this excellent book. This book is by far the best resource for building enterprise caliber voice applications. I have purchased 5 other VXML books and none of them delivers the information that this book does. This book not only delivered the content I needed, but it's comprehensive and deals with complex issues in a simplified fashion. The real highlights of this book are Chapters 4 and 5. Chapter 4 explains Enterprise applications, possible architectures for dealing with state, and interacting with a backend. Chapter 5 deals with more of a deployment and physical architectural angle. Get it for those two chapters alone.

The only thing that I found missing was techniques for versioning a voice application (No not the CVS source-code control type versioning). I mean having the same backend server provide different content to the same voice browser and techniques on structuring your application to smoothly transition from one set of content to another. For example, the voice browser cache is full of old static content - how can I gracefully switch to new content without forcing a dump of the existing cache through the HTTP headers or some other external mechanism - It has to do with using relative pathing beneath the application root document for vxml scripts and static content. Some information about Browser to Browser interactions might also be nice - but I recognize the VBI specs are just emerging.

Anyway, anyone thinking of building a real voice application with speech recognition and integration to backend applications and data should definitely add this book to their library. It has helped me tremendously. Two thumbs up!

This book is really two books in one. A VXML tutorial and an overview of all the technologies used to build voice applications. The authors, in the overview portions, have presented detailed information yet have made it manageable enough to allow the reader to gain a good hold of the material without getting lost in the detail. Where the book really stands out though is in the VXML tutorial. The tutorial is written in a layered fashion in which the basic concepts are presented before moving on to the next more advanced feature. At each step an example is used to help make the concepts concrete. I loved the fact that the authors never underestimate the my intelligence nor did they seek to impress the me with their advanced knowledge. I was very happy to find this in a recently published technical book. I was able to move quickly though the tutorial building on the example presented. I bought the book hoping to come up to speed on new voice application technologies having been out of that field for many years. The book has done that and I consider it one of my better tech book buys.

This is an excellent text on the topic of safety critical computer systems. I found the chapters on Hazard Analysis, Risk Analysis, Developing Safety Critical Computer Systems, Foult Tolerance and Safety-Critical Software to be particularly enlightening as well as the chapter on Verification, Validation and Testing. Each chapter comes with a excellent list of refences and problems to work. I believe that a course in safety-critical computer systems and safety-critical software development should be required in every CS curriculum along with courses in real-time software development. I recommend that anyone who is about to enter the world of developing commercial or DoD safety-critical systems with no prior exposure to the material should read this text. If you are interested in learning more about safety-critical systems, this text is worth your time.

George Chastain
Software Consultant/Systems Engineer
Huntsville, Alabama

computer of critical syste

This is a great book. It is an example of how a modern
technical book should be written to really teach the
reader both the substance of the subject and the context
in which that subject is meaningful. There is high level
motivation throughout the book which enables the reader
looking for an overview of Voice XML and how it relates
to technologies used with it. There is technical detail
that will enable the software engineer to understand
the technical foundations and how they relate to technologies
used with Voice XML such as XSLT, JSP, HTML, JavaScript, etc.
In addition, there is an architectural framework of browsers,
gateways, web servers, servlets, grammars, telephony, and
the transformational processing model, which is concisely
presented with the essential concepts needed to understand
how all these technologies are woven into a cohesive
structure to enable the building of Voice XML and multimedia
applications. If that is not enough, there is working example

provided which is explained throughout the book, and it is
even presented in a UML framework which will be useful to
engineers who want a good example of effective use of UML.
And there is a CD, and associated web site, with both the
application and all the tools you need to build and test
the example - note: some of the tools like XML Spy, IBM
WebSphere, Allaire JRun, and Apache Cocoon may have time
limits, so don't install the software until you are ready
to spend the time necessary to set up and test the
application. Finally, the book is written at an extremely
intelligent level and the reader may find some of the
philosophies like cognition and artificial intelligence
stimulating. Sounds like a lot for a 200 page book, but
the author has succeeded in delivering all the above and
more in a manner that should serve as a model for
presenting new technologies.

This is an excellent overview of VoiceXML. In addition to a thorough discussion of the VXML language and technologies, the author had the great idea of illustrating the material via a Personal Information Manager project (address book, calendar, and to-do list), which the reader creates while reading along. IMHO, this is by far the most practical of the VoiceXML books that I own. I learned quite a bit, and have even been able to create a number of useful VXML apps on my own since reading it.

I bought this book last week and implemented most of the hands-on exercises in the book. The exercises are fun to do and the author's explanations are very clear and organized that made learning VoiceXML very interesting.

Now I feel very comfortable to write a VoiceXML script for my upcoming project. No to mention some typos in the scripts that provides you even better opportunity to learn hands-on.

This book offers a great step-by-step approach. The working VoiceXML sites created in the book provide great, practical knowledge that you can put right to work. And the code-check database was very helpful in detecting where a program might have gone wrong. I would recommend this book for anyone getting started with VoiceXML.

When this book came out a couple of years ago it was the first and only book on designing speech recognition systems. It was very valuable then, but now more books are available that cover the same information and more, for a lot less money.

This book is simply the best for your bookcase if you are a voice dialogue designer. I would strongly recommend it to novice and expert alike, especially for those learning VoiceXML for the first time, or working with it day to day.

Grounded in hours of human-computer experiments, and a multi-disciplinary approach to user interface design - this book is a rare combination of a careful ear for human language and dialogue, extensive engineering experience, and pragmatic knowledge of the strengths and limitations of current voice recognition technology.

The second edition has brought it bang up-to-date. It cuts through the hype that has always surrounded each successive generation of voice technology - focussing always on the building of robust useable interfaces which work with the user rather than against them.

This book is so well organized and articulated it's bound to be of value to anyone doing ASR application development. My own experience in voice response runs from end-user representative to application designer and I found every chapter enlightening. In this second edition of Bruce and David's ASR style guide, I believe the end users will find the new sections on voice portals and managing your voice talent of particular interest. And all users should take particular note of the expanded discussions of usability testing and performance reporting.

I found the first version of How to Build a Speech Recognition Application so useful that I actually took the time to compared the new edition, page for page, with the original. That was a relatively easy task, because the authors retained the original section numbering wherever possible. My comparison showed that the original guidelines have been substantially updated, based on continuing research and the hands-on experiences of both the authors and other acknowledged experts. In addition, I believe the new sections and expanded discussions of critical design considerations are going to prove valuable to both novice and seasoned developers.

In short, developing effective telephony dialogues is a complex, rapidly evolving and downright expensive task. Given that reality, every development team ought to have at least one copy of this landmark style guide.

This book provides a comprehensive introduction to the statistical models and algorithms used for speech recognition. Jelinek sets up the speech recognition problem in the traditional way as the decoding half of Shannon's noisy channel model. While Jelinek glosses over signal processing, he provides an excellent overview of the symbolic stages of processing involved in speech recognition.

After a quick introduction, Jelinek digs into the statistics behind Hidden Markov Models (HMMs), the foundation of almost all of today's speech recognizers. This is followed by chapters devoted to acoustic modeling (probability of acoustics given words) and language modeling (probability of a given sequence of words), and the algorithmic search induced by this model. There are also advanced chapters on fast match (widely used heuristics for pruning search), the Expectation-Maximization (EM) algorithm for training, and the use of decision trees, maximum entropy and backoff for language models. He covers several auxiliary topics including information theory and perplexity, the spelling to phoneme mapping, and the use of triphones for cross-phoneme modeling. Each chapter is a worthy introduction to an important topic.

This book does not presuppose much in the way of mathematical, computational, or linguistic background. A simple intro to probability and some experience with search problems would be of help, but isn't necessary -- you'll learn a lot about these topics reading the book.

All in all, this is the best thorough introduction to speech recognition that you can find. Read it along with Manning and Schuetze's "Foundations of Statistical Natural Language Processing" from the same series; there's a little overlap in language modeling, but not much. You might want to start with the gentler book by Jurafsky and Martin, "Speech and Language Processing", before tackling either Jelinek or Manning and Schuetze.

This book provides an excellent overview of speech recognition technology using Hidden Markov Models. Although Jelinek is clearly speaking with respect to his experience at IBM - he might as well be describing any other commercial speech recognition framework in the world. As a researcher and programmer in the area of speech recognition I regard this book as an excellent reference. It is concise, and I would say that anyone with a reasonable grasp of mathematics should have no trouble understanding most of the topics. In some of the more advanced areas some readers might need to refer to one of reference papers described in the book. I agree with the first reader - destined to be a classic!

This book is possibly the first of its kind - exclusively devoted to Statistical Speech Recognition. The author is a pioneer in the area - one of the 'fathers' of the field,as it were. Thus one expects the text to be authoritative, and it is. The 'information density' is very high - it's a small book, but absolutely packed with information. You'll learn a lot about Hidden Markov Models and their use in Speech Recognition, but it also addresses many other issues, like language modelling and grammar, making it much more than a mere 'speech maths' book.

However, this is definitely not meant for absolute newcomers to the field of speech processing, and it does assume some background in advaced mathematics as well, especially in probability.

If you're looking for other aspects of Speech Recognition or code, you've come to the wrong place - but please don't spoil the rating of an excellent book by complaining that it doesn't have what it never promised to :-) - if you want a solid introduction to the field as a whole, i'd suggest 'Fundamentals of Speech Recognition' by Rabiner & Juang, and if it's code that you're looking for, there's lots of excellent open source stuff available on the net, notably from CMU and Cambridge, and there are some recent books in the market exclusively devoted to implementation of speech recognition systems.

To sum up, if you have some exposure to speech recognition and want to learn the maths & concepts behind the Statistical approach to Speech Recognition, this is your book.

I was mislead by the accompanying great reviews for this book. Having bought and read the book I find that it serves more as a reference than to illustrate how VoiceXML can be used through example applications. But I should admit though that this book does a good job of serving as a reference. I also bought "VoiceXML: 10 Projects to Voice-Enable your system" that helped me to come up to speed to do a VoiceXML project.

This is the best VoiceXML book I've seen. Most VoiceXML books try to do too much: talk about voice hardware, telephony, the history of voice, tts, as well as be a VoiceXML reference. The weakness of these books is that one or more of these sections reveals that the authors do not really command the knowledge needed to make these sections useful. This book also attempts to do these things, but for the most part is able to carry it off.

If you're looking for a reference, this is the book to get. The reference section is current VoiceXML 2.0 (October 2001), which is an advantage in and of itself. But the real strength of the reference section is its depth. Each element, (e.g., , , ) has an entry for syntax (how to invoke the element), a description (what the element is used for), a thorough discussion of its attributes (that is, a description of the attribute), a usage statement (the elements parents and children), and an example (a snipet of complete code that uses the element). The examples and discussion of attributes really set this book apart from its peers.

There is a brief discussion of the architecture of a VoiceXML app, and a couple of paragraphs discussing the differences between VoiceXML 1.0 and 2.0.

The book also gives, contrary to my expectations, a history of the voice industry, a history of VoiceXML, and a discussion of players in the industry. What makes this book's treatment of these topics unusual is that the authors (particularly Kunins, I suspect) actually know these fields. I don't normally want these sections in a reference book (it just adds bulk around the section I really want) but I found them quite compelling here. I learned quite a bit from reading them.

The book also contains sections on Dynamic VoiceXML, Security, Voice App Life Cycle, VUI Design, the Future of VoiceXML, and a case study. I haven't read these sections yet, so I can't comment on them. I do know, however, that the sections I have read are sufficiently superior to make this THE VoiceXML book on their own.

If I were to criticize the book, I would fault the authors' lavish praise of TellMe (this is minor and not unexpected) and the examples in the reference section. The examples are quite good for someone learning VoiceXML, and the authors are commended for including them. The fault (albeit a minor one) is that they are fairly vanilla. So, while I would have preferred more examples, I concede that such examples would make the book much larger and the inclusion of "advanced" examples to the exclusion of "canonical" examples would have made them less useful to developers learning VoiceXML.

Overall, if you are going to own one VoiceXML reference, THIS should be that one.

Actually the book is almost 500 pages and with small fonts and tight spacing, this book is full of useful tips and suggestions on wide range of topics. Probably the only book on 2.0 out there (others hardly touch on 2.0). Very good reference chapter. Other chapters provide good coverage as well. Thumbs up from me.