Speech Recognition Applications

The unique design of this book offers a perfect training solution for students, teachers, and business professionals. It offers easy to follow lessons with step-by step directions and many screen shots and tips.

Author: Speaking Solutions

Publisher: CreateSpace

ISBN: 9781463730918

Category: Education

Page: 114

View: 229

Speech Recognition Applications: The Basics and Beyond provides step-by-step directions for getting started with speech recognition software. It also provides instruction in developing the basic speech recognition skills needed to dictate, correct, edit and format a variety of documents. Exercises are included for navigating the Internet by voice and creating e-mails; using Microsoft Word to create letters, reports, tables and macros; and using Microsoft Excel for creating spreadsheets. The unique design of this book offers a perfect training solution for students, teachers, and business professionals. It offers easy to follow lessons with step-by step directions and many screen shots and tips. The exercises will help you learn how to use speech recognition as a daily input device and will help you improve your overall speed and accuracy. Speech recognition technology has made numerous advancements over the past decade and has become easier to use and much more efficient. Speech recognition software is now being used by more and more individuals in a wide variety of industries and professional careers every day! Get a head start with this training manual today.

The Art and Business of Speech Recognition

By explaining the nature, design, development, and use of such applications, this book addresses two particular needs: Business managers must understand the competitive advantage that speech-recognition applications provide: a more ...

Author: Blade Kotelly

Publisher: Addison-Wesley Professional

ISBN: 9780321154927

Category: Computers

Page: 184

View: 399

Most people have experienced an automated speech-recognition system when calling a company. Instead of prompting callers to choose an option by entering numbers, the system asks questions and understands spoken responses. With a more advanced application, callers may feel as if they're having a conversation with another person. Not only will the system respond intelligently, its voice even has personality. The Art and Business of Speech Recognition examines both the rapid emergence and broad potential of speech-recognition applications. By explaining the nature, design, development, and use of such applications, this book addresses two particular needs: Business managers must understand the competitive advantage that speech-recognition applications provide: a more effective way to engage, serve, and retain customers over the phone. Application designers must know how to meet their most critical business goal: a satisfying customer experience. Author Blade Kotelly illuminates these needs from the perspective of an experienced, business-focused practitioner. Among the diverse applications he's worked on, perhaps his most influential design is the flight-information system developed for United Airlines, about which Julie Vallone wrote in Investor's Business Daily "By the end of the conversation, you might want to take the voice to dinner." If dinner is the analogy, this concise book is an ideal first course. Managers will learn the potential of speech-recognition applications to reduce costs, increase customer satisfaction, enhance the company brand, and even grow revenues. Designers, especially those just beginning to work in the voice domain, will learn user-interface design principles and techniques needed to develop and deploy successful applications. The examples in the book are real, the writing is accessible and lucid, and the solutions presented are attainable today. 0321154924B12242002

Using Speech Recognition

Filled with advice and hints on how to select speech-recognition products and build applications, this book offers an unbiased treatment of speech-recognition technology, vendors, and future outlook.

Author: Judith A. Markowitz

Publisher: Prentice Hall

ISBN:

Category: Computers

Page: 292

View: 359

Filled with advice and hints on how to select speech-recognition products and build applications, this book offers an unbiased treatment of speech-recognition technology, vendors, and future outlook.

Robust Speech Recognition of Uncertain or Missing Data

This book presents the state of the art in recognition in the presence of uncertainty, offering examples that utilize uncertainty information for noise robustness, reverberation robustness, simultaneous recognition of multiple speech ...

Author: Dorothea Kolossa

Publisher: Springer Science & Business Media

ISBN: 9783642213175

Category: Technology & Engineering

Page: 380

View: 827

Automatic speech recognition suffers from a lack of robustness with respect to noise, reverberation and interfering speech. The growing field of speech recognition in the presence of missing or uncertain input data seeks to ameliorate those problems by using not only a preprocessed speech signal but also an estimate of its reliability to selectively focus on those segments and features that are most reliable for recognition. This book presents the state of the art in recognition in the presence of uncertainty, offering examples that utilize uncertainty information for noise robustness, reverberation robustness, simultaneous recognition of multiple speech signals, and audiovisual speech recognition. The book is appropriate for scientists and researchers in the field of speech recognition who will find an overview of the state of the art in robust speech recognition, professionals working in speech recognition who will find strategies for improving recognition results in various conditions of mismatch, and lecturers of advanced courses on speech processing or speech recognition who will find a reference and a comprehensive introduction to the field. The book assumes an understanding of the fundamentals of speech recognition using Hidden Markov Models.

Speech Technology

One of the goals in this book is to emphasize the application. User experience, human factors and usability issues are the focus in this book.

Author: Fang Chen

Publisher: Springer Science & Business Media

ISBN: 9780387738192

Category: Technology & Engineering

Page: 331

View: 929

This book gives an overview of the research and application of speech technologies in different areas. One of the special characteristics of the book is that the authors take a broad view of the multiple research areas and take the multidisciplinary approach to the topics. One of the goals in this book is to emphasize the application. User experience, human factors and usability issues are the focus in this book.

Robust Automatic Speech Recognition

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.

Author: Jinyu Li

Publisher: Academic Press

ISBN: 0128026162

Category: Technology & Engineering

Page: 306

View: 432

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

Speech Recognition and Understanding

The book collects the contributions to the NATO Advanced Study Institute on "Speech Recognition and Understanding: Recent Advances, Trends and Applications", held in Cetraro, Italy, during the first two weeks of July 1990.

Author: Pietro Laface

Publisher: Springer Science & Business Media

ISBN: 3642766269

Category: Computers

Page: 559

View: 587

The book collects the contributions to the NATO Advanced Study Institute on "Speech Recognition and Understanding: Recent Advances, Trends and Applications", held in Cetraro, Italy, during the first two weeks of July 1990. This Institute focused on three topics that are considered of particular interest and rich of i'p.novation by researchers in the fields of speech recognition and understanding: Advances in Hidden Markov modeling, connectionist approaches to speech and language modeling, and linguistic processing including language and dialogue modeling. The purpose of any ASI is that of encouraging scientific communications between researchers of NATO countries through advanced tutorials and presentations: excellent tutorials were offered by invited speakers that present in this book 15 papers which sum marize or detail the topics covered in their lectures. The lectures were complemented by discussions, panel sections and by the presentation of related works carried on by some of the attending researchers: these presentations have been collected in 42 short contributions to the Proceedings. This volume, that the reader can find useful for an overview, although incomplete, of the state of the art in speech understanding, is divided into 6 Parts.

Robust Speech Recognition in Embedded Systems and PC Applications

No matter how fast a PC CPU is, new applications always seem to surface and
demand even more horsepower. Recently, a number of Web-based applications
using speech recognition are becoming available. Internet offers unique ...

Author: Jean-Claude Junqua

Publisher: Springer Science & Business Media

ISBN: 9780792378730

Category: Computers

Page: 177

View: 563

"Robust Speech Recognition in Embedded Systems and PC Applications reviews the problems of robust speech recognition, summarizes the current state of the art of robust speech recognition, provides perspective on the state of the art, and reviews the complementary technologies (i.e., dialog and user interface) necessary to build an application.".

Robustness in Automatic Speech Recognition

Foreword Looking back the past 30 years. we have seen steady progress made in the area of speech science and technology.

Author: Jean-Claude Junqua

Publisher: Springer Science & Business Media

ISBN: 1461312973

Category: Technology & Engineering

Page: 440

View: 821

Foreword Looking back the past 30 years. we have seen steady progress made in the area of speech science and technology. I still remember the excitement in the late seventies when Texas Instruments came up with a toy named "Speak-and-Spell" which was based on a VLSI chip containing the state-of-the-art linear prediction synthesizer. This caused a speech technology fever among the electronics industry. Particularly. applications of automatic speech recognition were rigorously attempt ed by many companies. some of which were start-ups founded just for this purpose. Unfortunately. it did not take long before they realized that automatic speech rec ognition technology was not mature enough to satisfy the need of customers. The fever gradually faded away. In the meantime. constant efforts have been made by many researchers and engi neers to improve the automatic speech recognition technology. Hardware capabilities have advanced impressively since that time. In the past few years. we have been witnessing and experiencing the advent of the "Information Revolution." What might be called the second surge of interest to com mercialize speech technology as a natural interface for man-machine communication began in much better shape than the first one. With computers much more powerful and faster. many applications look realistic this time. However. there are still tremendous practical issues to be overcome in order for speech to be truly the most natural interface between humans and machines.

Usability of Continuous Speech Recognition Programs

was Comun By 1986 , most speech recognition applications had been directed
toward voice data entry and voice commands . General speech - to - text
transcription was not yet viable and was hardly cost - effective for a single user (
Meisel ...

Author: Hsin Eu

Publisher:

ISBN:

Category:

Page: 314

View: 116


Modern Speech Recognition Approaches

The book focuses primarily on speech recognition and the related tasks such as speech enhancement and modelling. Thorough reading of this book will provide comprehensive knowledge on modern speech recognition approaches to the readers. "

Author: Asa Bensten

Publisher:

ISBN: 9781681174617

Category:

Page: 296

View: 290

"Voice or speech recognition is the ability of a machine or program to receive and interpret dictation, or to understand and carry out spoken commands. The task of speech recognition is to convert speech into a sequence of words by a computer program. As the most natural communication modality for humans, the ultimate dream of speech recognition is to enable people to communicate more naturally and effectively. Speech recognition is often regarded as the front-end for many NLP components discussed in this book. In practice, the speech system typically uses context-free grammar (CFG) or statistic n-grams for the same reason that hidden Markov models (HMMs) are used for acoustic modelling. Although it initially addressed applications requiring the scanning of audio data for occurrences of particular keywords, the technology has become an effective approach to speech recognition for a wide range of applications. Speech recognition applications are different from any other kind of computer application. It opens up a world of possibilities for developers, especially those building interactive voice responses (IVRs) and other telephony applications, but speech recognition also has some challenges. Speech recognition is also affected by the quality of the input. If a user is calling a system, a bad cell phone connection or overly compressed Internet audio may throw off recognition. Handling these sorts of cases becomes very important when designing speech recognition applications. Modern Speech Recognition Approaches reflect important research on the approaches of speech recognition. The book focuses primarily on speech recognition and the related tasks such as speech enhancement and modelling. Thorough reading of this book will provide comprehensive knowledge on modern speech recognition approaches to the readers. "

Automatic Speech Recognition on Mobile Devices and over Communication Networks

This book brings together academic researchers and industrial practitioners to address the issues in this emerging realm and presents the reader with a comprehensive introduction to the subject of speech recognition in devices and networks.

Author: Zheng-Hua Tan

Publisher: Springer Science & Business Media

ISBN: 1848001436

Category: Technology & Engineering

Page: 402

View: 323

The advances in computing and networking have sparked an enormous interest in deploying automatic speech recognition on mobile devices and over communication networks. This book brings together academic researchers and industrial practitioners to address the issues in this emerging realm and presents the reader with a comprehensive introduction to the subject of speech recognition in devices and networks. It covers network, distributed and embedded speech recognition systems.

Voice Recognition with Software Applications

Early Software Releases: Early releases of voice-recognition software required
considerable training time, and these programs produced a high incidence of
recognition errors. In addition, the software required dictators to pronounce words
 ...

Author: Lyn Clark

Publisher:

ISBN: 9780078226434

Category: Automatic speech recognition

Page: 508

View: 782


CIO

Interactive voice response : I V R syste m s allow touch-tone phones to interact
with a database. Speech recognition: Software that allows companies to
automate calls that don't require a human agent. Early speech recognition
applications ...

Author:

Publisher:

ISBN:

Category:

Page: 92

View: 387


Computer Speech

The book also focuses on speech and audio compression for mobile communication and the Internet. The importance of subjective quality criteria is stressed.

Author: Manfred R. Schroeder

Publisher: Springer Science & Business Media

ISBN: 3662038617

Category: Science

Page: 319

View: 526

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. 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.

Advances in Speech Recognition

Judith and I have had our eyes opened by the ideas and analyses offered by this collection of authors.

Author: Amy Neustein

Publisher: Springer Science & Business Media

ISBN: 9781441959515

Category: Technology & Engineering

Page: 369

View: 795

Two Top Industry Leaders Speak Out Judith Markowitz When Amy asked me to co-author the foreword to her new book on advances in speech recognition, I was honored. Amy’s work has always been infused with c- ative intensity, so I knew the book would be as interesting for established speech professionals as for readers new to the speech-processing industry. The fact that I would be writing the foreward with Bill Scholz made the job even more enjoyable. Bill and I have known each other since he was at UNISYS directing projects that had a profound impact on speech-recognition tools and applications. Bill Scholz The opportunity to prepare this foreword with Judith provides me with a rare oppor- nity to collaborate with a seasoned speech professional to identify numerous signi- cant contributions to the field offered by the contributors whom Amy has recruited. Judith and I have had our eyes opened by the ideas and analyses offered by this collection of authors. Speech recognition no longer needs be relegated to the ca- gory of an experimental future technology; it is here today with sufficient capability to address the most challenging of tasks. And the point-click-type approach to GUI control is no longer sufficient, especially in the context of limitations of mode- day hand held devices. Instead, VUI and GUI are being integrated into unified multimodal solutions that are maturing into the fundamental paradigm for comput- human interaction in the future.

InfoWorld

By incorporating Nuance's speech recognition technology into its development
environment, Edify will enable its users to ... a single environment for creating
both e-commerce and voice-commerce (v-commerce) applications, officials said.

Author:

Publisher:

ISBN:

Category:

Page: 118

View: 961

InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.

CIO

The company is rolling out a natural language application that recognizes and
acts on customer orders spoken into the ... United, Fidelity, Sears and E-Trade
each spent hundreds of thousands of dollars on speech-recognition applications.

Author:

Publisher:

ISBN:

Category:

Page: 96

View: 619


Speech Recognition for the Health Professions

Obviously , the larger amount of RAM facilitates faster response times in software
operation ( especially in speech recognition software ) . Early discrete speech
software programs did not require significant processor speed ( MHz ) or much ...

Author: Michael Freeman Bliss

Publisher: Prentice Hall

ISBN:

Category: Computers

Page: 222

View: 576

For courses in Medical Transcription and Medical Clerical. This first-of-its-kind educational tool introduces skill sets that promote successful speech recognition to students entering the profession of healthcare documentation. The texts understandable f

Deep Learning for NLP and Speech Recognition

Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape ...

Author: Uday Kamath

Publisher: Springer

ISBN: 3030145964

Category: Computers

Page: 621

View: 458

This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the widespread adoption of deep learning, natural language processing (NLP),and speech applications in many areas (including Finance, Healthcare, and Government) there is a growing need for one comprehensive resource that maps deep learning techniques to NLP and speech and provides insights into using the tools and libraries for real-world applications. Deep Learning for NLP and Speech Recognition explains recent deep learning methods applicable to NLP and speech, provides state-of-the-art approaches, and offers real-world case studies with code to provide hands-on experience. Many books focus on deep learning theory or deep learning for NLP-specific tasks while others are cookbooks for tools and libraries, but the constant flux of new algorithms, tools, frameworks, and libraries in a rapidly evolving landscape means that there are few available texts that offer the material in this book. The book is organized into three parts, aligning to different groups of readers and their expertise. The three parts are: Machine Learning, NLP, and Speech Introduction The first part has three chapters that introduce readers to the fields of NLP, speech recognition, deep learning and machine learning with basic theory and hands-on case studies using Python-based tools and libraries. Deep Learning Basics The five chapters in the second part introduce deep learning and various topics that are crucial for speech and text processing, including word embeddings, convolutional neural networks, recurrent neural networks and speech recognition basics. Theory, practical tips, state-of-the-art methods, experimentations and analysis in using the methods discussed in theory on real-world tasks. Advanced Deep Learning Techniques for Text and Speech The third part has five chapters that discuss the latest and cutting-edge research in the areas of deep learning that intersect with NLP and speech. Topics including attention mechanisms, memory augmented networks, transfer learning, multi-task learning, domain adaptation, reinforcement learning, and end-to-end deep learning for speech recognition are covered using case studies.