Speech & Language Processing
Author: Dan Jurafsky
Publisher: Pearson Education India
Published: 2000-09
Total Pages: 912
ISBN-13: 9788131716724
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Speech Technology
Author: Fang Chen
Publisher: Springer Science & Business Media
Published: 2010-07-01
Total Pages: 349
ISBN-13: 0387738193
DOWNLOAD EBOOKThis 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.
Multilingual Speech Processing
Author: Tanja Schultz
Publisher: Elsevier
Published: 2006-06-12
Total Pages: 540
ISBN-13: 0080457622
DOWNLOAD EBOOKTanja Schultz and Katrin Kirchhoff have compiled a comprehensive overview of speech processing from a multilingual perspective. By taking this all-inclusive approach to speech processing, the editors have included theories, algorithms, and techniques that are required to support spoken input and output in a large variety of languages. Multilingual Speech Processing presents a comprehensive introduction to research problems and solutions, both from a theoretical as well as a practical perspective, and highlights technology that incorporates the increasing necessity for multilingual applications in our global community. Current challenges of speech processing and the feasibility of sharing data and system components across different languages guide contributors in their discussions of trends, prognoses and open research issues. This includes automatic speech recognition and speech synthesis, but also speech-to-speech translation, dialog systems, automatic language identification, and handling non-native speech. The book is complemented by an overview of multilingual resources, important research trends, and actual speech processing systems that are being deployed in multilingual human-human and human-machine interfaces. Researchers and developers in industry and academia with different backgrounds but a common interest in multilingual speech processing will find an excellent overview of research problems and solutions detailed from theoretical and practical perspectives. State-of-the-art research with a global perspective by authors from the USA, Asia, Europe, and South Africa The only comprehensive introduction to multilingual speech processing currently available Detailed presentation of technological advances integral to security, financial, cellular and commercial applications
Talker Variability in Speech Processing
Author: Keith Johnson
Publisher:
Published: 1997
Total Pages: 264
ISBN-13:
DOWNLOAD EBOOKIn this text, the editors aim to convert the mapping of speech patterns into mental representations. They cover theories of perception and cognition, issues in clinical speech pathology, and the practical concerns of speech technology.
Artificial Intelligence and Speech Technology
Author: Amita Dev
Publisher: CRC Press
Published: 2021-06-29
Total Pages: 522
ISBN-13: 1000472906
DOWNLOAD EBOOKThe 2nd International Conference on Artificial Intelligence and Speech Technology (AIST2020) was organized by Indira Gandhi Delhi Technical University for Women, Delhi, India on November 19–20, 2020. AIST2020 is dedicated to cutting-edge research that addresses the scientific needs of academic researchers and industrial professionals to explore new horizons of knowledge related to Artificial Intelligence and Speech Technologies. AIST2020 includes high-quality paper presentation sessions revealing the latest research findings, and engaging participant discussions. The main focus is on novel contributions which would open new opportunities for providing better and low-cost solutions for the betterment of society. These include the use of new AI-based approaches like Deep Learning, CNN, RNN, GAN, and others in various Speech related issues like speech synthesis, speech recognition, etc.
Statistical Methods for Speech Recognition
Author: Frederick Jelinek
Publisher: MIT Press
Published: 2022-11-01
Total Pages: 307
ISBN-13: 0262546604
DOWNLOAD EBOOKThis 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. Bradford Books imprint
Designing Human Interface in Speech Technology
Author: Fang Chen
Publisher: Springer Science & Business Media
Published: 2006
Total Pages: 416
ISBN-13: 9780387241555
DOWNLOAD EBOOKBridging the gap between the needs of the technical engineer and cognitive researchers related to speech technology applications. Systematic approach focusing on the utility of speech related product design Designed to respond to the growing need for specific theories, tools and methods for design, testing and evaluating speech related human-system interfaces. Targeted at designers, engineers, and decision makers working in the area of speech technology research
Essential Speech and Language Technology for Dutch
Author: Peter Spyns
Publisher: Springer Science & Business Media
Published: 2013-02-26
Total Pages: 414
ISBN-13: 3642309100
DOWNLOAD EBOOKThe book provides an overview of more than a decade of joint R&D efforts in the Low Countries on HLT for Dutch. It not only presents the state of the art of HLT for Dutch in the areas covered, but, even more importantly, a description of the resources (data and tools) for Dutch that have been created are now available for both academia and industry worldwide. The contributions cover many areas of human language technology (for Dutch): corpus collection (including IPR issues) and building (in particular one corpus aiming at a collection of 500M word tokens), lexicology, anaphora resolution, a semantic network, parsing technology, speech recognition, machine translation, text (summaries) generation, web mining, information extraction, and text to speech to name the most important ones. The book also shows how a medium-sized language community (spanning two territories) can create a digital language infrastructure (resources, tools, etc.) as a basis for subsequent R&D. At the same time, it bundles contributions of almost all the HLT research groups in Flanders and the Netherlands, hence offers a view of their recent research activities. Targeted readers are mainly researchers in human language technology, in particular those focusing on Dutch. It concerns researchers active in larger networks such as the CLARIN, META-NET, FLaReNet and participating in conferences such as ACL, EACL, NAACL, COLING, RANLP, CICling, LREC, CLIN and DIR ( both in the Low Countries), InterSpeech, ASRU, ICASSP, ISCA, EUSIPCO, CLEF, TREC, etc. In addition, some chapters are interesting for human language technology policy makers and even for science policy makers in general.
Recent Advances in Robust Speech Recognition Technology
Author: Javier Ramirez
Publisher: Bentham Science
Published: 2011
Total Pages: 223
ISBN-13: 1608051722
DOWNLOAD EBOOK"This E-book is a collection of articles that describe advances in speech recognition technology. Robustness in speech recognition refers to the need to maintain high speech recognition accuracy even when the quality of the input speech is degraded, or whe"
Automatic Speech Recognition
Author: Dong Yu
Publisher: Springer
Published: 2014-11-11
Total Pages: 329
ISBN-13: 1447157796
DOWNLOAD EBOOKThis 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.
