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Spoken Language Understanding

Author: Gokhan Tur
Publisher: John Wiley & Sons
ISBN: 1119993946
Size: 11.82 MB
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Spoken language understanding (SLU) is an emerging field in between speech and language processing, investigating human/ machine and human/ human communication by leveraging technologies from signal processing, pattern recognition, machine learning and artificial intelligence. SLU systems are designed to extract the meaning from speech utterances and its applications are vast, from voice search in mobile devices to meeting summarization, attracting interest from both commercial and academic sectors. Both human/machine and human/human communications can benefit from the application of SLU, using differing tasks and approaches to better understand and utilize such communications. This book covers the state-of-the-art approaches for the most popular SLU tasks with chapters written by well-known researchers in the respective fields. Key features include: Presents a fully integrated view of the two distinct disciplines of speech processing and language processing for SLU tasks. Defines what is possible today for SLU as an enabling technology for enterprise (e.g., customer care centers or company meetings), and consumer (e.g., entertainment, mobile, car, robot, or smart environments) applications and outlines the key research areas. Provides a unique source of distilled information on methods for computer modeling of semantic information in human/machine and human/human conversations. This book can be successfully used for graduate courses in electronics engineering, computer science or computational linguistics. Moreover, technologists interested in processing spoken communications will find it a useful source of collated information of the topic drawn from the two distinct disciplines of speech processing and language processing under the new area of SLU.

The Conversational Interface

Author: Michael McTear
Publisher: Springer
ISBN: 3319329677
Size: 61.87 MB
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This book provides a comprehensive introduction to the conversational interface, which is becoming the main mode of interaction with virtual personal assistants, smart devices, various types of wearable, and social robots. The book consists of four parts. Part I presents the background to conversational interfaces, examining past and present work on spoken language interaction with computers. Part II covers the various technologies that are required to build a conversational interface along with practical chapters and exercises using open source tools. Part III looks at interactions with smart devices, wearables, and robots, and discusses the role of emotion and personality in the conversational interface. Part IV examines methods for evaluating conversational interfaces and discusses future directions.

Spoken Language Processing

Author: Xuedong Huang
Publisher: Prentice Hall
ISBN: 9780130226167
Size: 49.81 MB
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Preface Our primary motivation in writing this book is to share our working experience to bridge the gap between the knowledge of industry gurus and newcomers to the spoken language processing community. Many powerful techniques hide in conference proceedings and academic papers for years before becoming widely recognized by the research community or the industry. We spent many years pursuing spoken language technology research at Carnegie Mellon University before we started spoken language R&D at Microsoft. We fully understand that it is by no means a small undertaking to transfer a state-of-the-art spoken language research system into a commercially viable product that can truly help people improve their productivity. Our experience in both industry and academia is reflected in the context of this book, which presents a contemporary and comprehensive description of both theoretic and practical issues in spoken language processing. This book is intended for people of diverse academic and practical backgrounds. Speech scientists, computer scientists, linguists, engineers, physicists, and psychologists all have a unique perspective on spoken language processing. This book will be useful to all of these special interest groups. Spoken language processing is a diverse subject that relies on knowledge of many levels, including acoustics, phonology, phonetics, linguistics, semantics, pragmatics, and discourse. The diverse nature of spoken language processing requires knowledge in computer science, electrical engineering, mathematics, syntax, and psychology. There are a number of excellent books on the subfields of spoken language processing, including speech recognition, text-to-speech conversion, and spoken language understanding, but there is no single book that covers both theoretical and practical aspects of these subfields and spoken language interface design. We devote many chapters systematically introducing fundamental theories needed to understand how speech recognition, text-to-speech synthesis, and spoken language understanding work. Even more important is the fact that the book highlights what works well in practice, which is invaluable if you want to build a practical speech recognizer, a practical text-to-speech synthesizer, or a practical spoken language system. Using numerous real examples in developing Microsoft's spoken language systems, we concentrate on showing how the fundamental theories can be applied to solve real problems in spoken language processing.

Advances In Speech And Language Technologies For Iberian Languages

Author: Alberto Abad
Publisher: Springer
ISBN: 3319491695
Size: 25.57 MB
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This book constitutes the refereed proceedings of the IberSPEECH 2016 Conference, held in Lisbon, Portugal, in November 2016. The 27 papers presented were carefully reviewed and selected from 48 submissions. The selected articles in this volume are organized into four different topics: Speech Production, Analysis, Coding and Synthesis; Automatic Speech Recognition; Paralinguistic Speaker Trait Characterization; Speech and Language Technologies in Different Application Fields

Advances In Speech And Language Technologies For Iberian Languages

Author: Doroteo T. Toledano
Publisher: Springer
ISBN: 3642352928
Size: 38.77 MB
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This volume constitutes the refereed proceedings of the Spanish Conference, IberSPEECH 2012: Joint VII “Jornadas en Tecnología del Habla” and III Iberian SLTech Workshop, held in Madrid, Spain, in November 21-23, 2012. The 29 revised papers were carefully reviewed and selected from 80 submissions. The papers are organized in topical sections on speaker characterization and recognition; audio and speech segmentation; pathology detection and speech characterization; dialogue and multimodal systems; robustness in automatic speech recognition; applications of speech and language technologies.

Recent Research Towards Advanced Man Machine Interface Through Spoken Language

Author: H. Fujisaki
Publisher: Elsevier
ISBN: 9780080540351
Size: 12.98 MB
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The spoken language is the most important means of human information transmission. Thus, as we enter the age of the Information Society, the use of the man-machine interface through the spoken language becomes increasingly important. Due to the extent of the problems involved, however, full realization of such an interface calls for coordination of research efforts beyond the scope of a single group or institution. Thus a nationwide research project was conceived and started in 1987 as one of the first Priority Research Areas supported by the Ministry of Education, Science and Culture of Japan. The project was carried out in collaboration with over 190 researchers in Japan. The present volume begins with an overview of the project, followed by 41 papers presented at the symposia. This work is expected to serve as an important source of information on each of the nine topics adopted for intensive study under the project. This book will serve as a guideline for further work in the important scientific and technological field of spoken language processing.

Crowdsourcing For Speech Processing

Author: Maxine Eskenazi
Publisher: John Wiley & Sons
ISBN: 1118541251
Size: 10.64 MB
Format: PDF
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Provides an insightful and practical introduction to crowdsourcing as a means of rapidly processing speech data Intended for those who want to get started in the domain and learn how to set up a task, what interfaces are available, how to assess the work, etc. as well as for those who already have used crowdsourcing and want to create better tasks and obtain better assessments of the work of the crowd. It will include screenshots to show examples of good and poor interfaces; examples of case studies in speech processing tasks, going through the task creation process, reviewing options in the interface, in the choice of medium (MTurk or other) and explaining choices, etc. Provides an insightful and practical introduction to crowdsourcing as a means of rapidly processing speech data. Addresses important aspects of this new technique that should be mastered before attempting a crowdsourcing application. Offers speech researchers the hope that they can spend much less time dealing with the data gathering/annotation bottleneck, leaving them to focus on the scientific issues. Readers will directly benefit from the book’s successful examples of how crowd- sourcing was implemented for speech processing, discussions of interface and processing choices that worked and choices that didn’t, and guidelines on how to play and record speech over the internet, how to design tasks, and how to assess workers. Essential reading for researchers and practitioners in speech research groups involved in speech processing

Speech And Language Processing

Author: Daniel Jurafsky
Publisher: Pearson
ISBN: 0133252930
Size: 61.82 MB
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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For undergraduate or advanced undergraduate courses in Classical Natural Language Processing, Statistical Natural Language Processing, Speech Recognition, Computational Linguistics, and Human Language Processing. 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 text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and language processing. Emphasis is on practical applications and scientific evaluation. An accompanying Website contains teaching materials for instructors, with pointers to language processing resources on the Web. The Second Edition offers a significant amount of new and extended material. Supplements: Click on the "Resources" tab to View Downloadable Files: Solutions Power Point Lecture Slides - Chapters 1-5, 8-10, 12-13 and 24 Now Available! For additional resourcse visit the author website: http://www.cs.colorado.edu/~martin/slp.html

Speech And Computer

Author: Miloš Železný
Publisher: Springer
ISBN: 3319019317
Size: 25.24 MB
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This book constitutes the refereed proceedings of the 15th International Conference on Speech and Computer, SPECOM 2013, held in Pilsen, Czech Republic. The 48 revised full papers presented were carefully reviewed and selected from 90 initial submissions. The papers are organized in topical sections on speech recognition and understanding, spoken language processing, spoken dialogue systems, speaker identification and diarization, speech forensics and security, language identification, text-to-speech systems, speech perception and speech disorders, multimodal analysis and synthesis, understanding of speech and text, and audio-visual speech processing.

Multilingual Natural Language Processing Applications

Author: Daniel Bikel
Publisher: IBM Press
ISBN: 0137047819
Size: 65.28 MB
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Multilingual Natural Language Processing Applications is the first comprehensive single-source guide to building robust and accurate multilingual NLP systems. Edited by two leading experts, it integrates cutting-edge advances with practical solutions drawn from extensive field experience. Part I introduces the core concepts and theoretical foundations of modern multilingual natural language processing, presenting today’s best practices for understanding word and document structure, analyzing syntax, modeling language, recognizing entailment, and detecting redundancy. Part II thoroughly addresses the practical considerations associated with building real-world applications, including information extraction, machine translation, information retrieval/search, summarization, question answering, distillation, processing pipelines, and more. This book contains important new contributions from leading researchers at IBM, Google, Microsoft, Thomson Reuters, BBN, CMU, University of Edinburgh, University of Washington, University of North Texas, and others. Coverage includes Core NLP problems, and today’s best algorithms for attacking them Processing the diverse morphologies present in the world’s languages Uncovering syntactical structure, parsing semantics, using semantic role labeling, and scoring grammaticality Recognizing inferences, subjectivity, and opinion polarity Managing key algorithmic and design tradeoffs in real-world applications Extracting information via mention detection, coreference resolution, and events Building large-scale systems for machine translation, information retrieval, and summarization Answering complex questions through distillation and other advanced techniques Creating dialog systems that leverage advances in speech recognition, synthesis, and dialog management Constructing common infrastructure for multiple multilingual text processing applications This book will be invaluable for all engineers, software developers, researchers, and graduate students who want to process large quantities of text in multiple languages, in any environment: government, corporate, or academic.