Applied Speech Technology
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Author | : Ann K. Syrdal |
Publisher | : CRC Press |
Total Pages | : 654 |
Release | : 1994-10-18 |
Genre | : Technology & Engineering |
ISBN | : 9780849394560 |
Written by the world's top experts in the field, this multidisciplinary book explores all phases of speech technology. Topics covered include: Conversion of computerized (keyboarded) text into synthesized speech, aimed at developing "talking computers" Development of automatic speech recognition, allowing electronic devices to process verbal commands Speech training and the use of synthesized speech for the hearing- and speech-impaired In-depth discussions of specific speech technologies are included, as well as a treatment of the issues and challenges of human-computer interfaces. Oriented toward state-of-the-art applications, the book emphasizes the practical utilization of emerging technologies and includes numerous case studies.
Author | : Ian McLoughlin |
Publisher | : Cambridge University Press |
Total Pages | : 217 |
Release | : 2009-02-19 |
Genre | : Computers |
ISBN | : 0521519543 |
This hands-on, one-stop resource describes the key techniques of speech and audio processing illustrated with extensive MATLAB examples.
Author | : Wu Chou |
Publisher | : CRC Press |
Total Pages | : 413 |
Release | : 2003-02-26 |
Genre | : Technology & Engineering |
ISBN | : 0203010523 |
Over the last 20 years, approaches to designing speech and language processing algorithms have moved from methods based on linguistics and speech science to data-driven pattern recognition techniques. These techniques have been the focus of intense, fast-moving research and have contributed to significant advances in this field. Pattern Reco
Author | : Soumya Sen |
Publisher | : Springer |
Total Pages | : 107 |
Release | : 2019-01-30 |
Genre | : Technology & Engineering |
ISBN | : 9811360987 |
This book offers an overview of audio processing, including the latest advances in the methodologies used in audio processing and speech recognition. First, it discusses the importance of audio indexing and classical information retrieval problem and presents two major indexing techniques, namely Large Vocabulary Continuous Speech Recognition (LVCSR) and Phonetic Search. It then offers brief insights into the human speech production system and its modeling, which are required to produce artificial speech. It also discusses various components of an automatic speech recognition (ASR) system. Describing the chronological developments in ASR systems, and briefly examining the statistical models used in ASR as well as the related mathematical deductions, the book summarizes a number of state-of-the-art classification techniques and their application in audio/speech classification. By providing insights into various aspects of audio/speech processing and speech recognition, this book appeals a wide audience, from researchers and postgraduate students to those new to the field.
Author | : Chris Baber |
Publisher | : CRC Press |
Total Pages | : 225 |
Release | : 2002-11-01 |
Genre | : Computers |
ISBN | : 1482272512 |
This book deals with two important technologies in human-computer interaction: computer generation of synthetic speech and computer recognition of human speech. It addresses the problems in generating speech with varying precision of articulation and how to convey moods and attitudes.
Author | : Lawrence R. Rabiner |
Publisher | : Now Publishers Inc |
Total Pages | : 212 |
Release | : 2007 |
Genre | : Computers |
ISBN | : 1601980701 |
Provides the reader with a practical introduction to the wide range of important concepts that comprise the field of digital speech processing. Students of speech research and researchers working in the field can use this as a reference guide.
Author | : Dan Jurafsky |
Publisher | : Pearson Education India |
Total Pages | : 912 |
Release | : 2000-09 |
Genre | : |
ISBN | : 9788131716724 |
Author | : Gillian M. Davis |
Publisher | : CRC Press |
Total Pages | : 427 |
Release | : 2018-10-03 |
Genre | : Technology & Engineering |
ISBN | : 1420041266 |
Noise and distortion that degrade the quality of speech signals can come from any number of sources. The technology and techniques for dealing with noise are almost as numerous, but it is only recently, with the development of inexpensive digital signal processing hardware, that the implementation of the technology has become practical. Noise Reduction in Speech Applications provides a comprehensive introduction to modern techniques for removing or reducing background noise from a range of speech-related applications. Self-contained, it starts with a tutorial-style chapter of background material, then focuses on system aspects, digital algorithms, and implementation. The final section explores a variety of applications and demonstrates to potential users of the technology the results possible with the noise reduction techniques presented. The book offers chapters contributed by international experts, a practical, systems approach, and numerous references. For electrical, acoustics, signal processing, communications, and bioengineers, Noise Reduction in Speech Applications is a valuable resource that shows you how to decide whether noise reduction will solve problems in your own systems and how to make the best use of the technologies available.
Author | : Nilanjan Dey |
Publisher | : Academic Press |
Total Pages | : 210 |
Release | : 2019-04-02 |
Genre | : Technology & Engineering |
ISBN | : 0128181303 |
Intelligent Speech Signal Processing investigates the utilization of speech analytics across several systems and real-world activities, including sharing data analytics, creating collaboration networks between several participants, and implementing video-conferencing in different application areas. Chapters focus on the latest applications of speech data analysis and management tools across different recording systems. The book emphasizes the multidisciplinary nature of the field, presenting different applications and challenges with extensive studies on the design, development and management of intelligent systems, neural networks and related machine learning techniques for speech signal processing.
Author | : Jinyu Li |
Publisher | : Academic Press |
Total Pages | : 308 |
Release | : 2015-10-30 |
Genre | : Technology & Engineering |
ISBN | : 0128026162 |
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