Novel Speech Processing Techniques For Robust Automatic Speech Recognition

DOWNLOAD

Download Novel Speech Processing Techniques For Robust Automatic Speech Recognition PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Novel Speech Processing Techniques For Robust Automatic Speech Recognition book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Novel Speech Processing Techniques For Robust Automatic Speech Recognition

DOWNLOAD
Author : Vivek Tyagi
language : en
Publisher:
Release Date : 2006

Novel Speech Processing Techniques For Robust Automatic Speech Recognition written by Vivek Tyagi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with categories.

Robust Automatic Speech Recognition

DOWNLOAD
Author : Jinyu Li
language : en
Publisher: Academic Press
Release Date : 2015-10-30

Robust Automatic Speech Recognition written by Jinyu Li and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-30 with Technology & Engineering categories.

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

New Era For Robust Speech Recognition

DOWNLOAD
Author : Shinji Watanabe
language : en
Publisher: Springer
Release Date : 2017-10-30

New Era For Robust Speech Recognition written by Shinji Watanabe and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-10-30 with Computers categories.

This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and training criteria. The contributed chapters also include descriptions of real-world applications, benchmark tools and datasets widely used in the field. This book is intended for researchers and practitioners working in the field of speech processing and recognition who are interested in the latest deep learning techniques for noise robustness. It will also be of interest to graduate students in electrical engineering or computer science, who will find it a useful guide to this field of research.

Robustness In Automatic Speech Recognition

DOWNLOAD
Author : Jean-Claude Junqua
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Robustness In Automatic Speech Recognition written by Jean-Claude Junqua and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.

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.

Recent Advances In Robust Speech Recognition Technology

DOWNLOAD
Author : Javier Ramirez
language : en
Publisher: Bentham Science
Release Date : 2011

Recent Advances In Robust Speech Recognition Technology written by Javier Ramirez and has been published by Bentham Science this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.

No detailed description available for "Recent Advances in Robust Speech Recognition Technology".

Techniques For Noise Robustness In Automatic Speech Recognition

DOWNLOAD
Author : Tuomas Virtanen
language : en
Publisher: John Wiley & Sons
Release Date : 2012-11-28

Techniques For Noise Robustness In Automatic Speech Recognition written by Tuomas Virtanen and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-28 with Technology & Engineering categories.

Automatic speech recognition (ASR) systems are finding increasing use in everyday life. Many of the commonplace environments where the systems are used are noisy, for example users calling up a voice search system from a busy cafeteria or a street. This can result in degraded speech recordings and adversely affect the performance of speech recognition systems. As the use of ASR systems increases, knowledge of the state-of-the-art in techniques to deal with such problems becomes critical to system and application engineers and researchers who work with or on ASR technologies. This book presents a comprehensive survey of the state-of-the-art in techniques used to improve the robustness of speech recognition systems to these degrading external influences. Key features: Reviews all the main noise robust ASR approaches, including signal separation, voice activity detection, robust feature extraction, model compensation and adaptation, missing data techniques and recognition of reverberant speech. Acts as a timely exposition of the topic in light of more widespread use in the future of ASR technology in challenging environments. Addresses robustness issues and signal degradation which are both key requirements for practitioners of ASR. Includes contributions from top ASR researchers from leading research units in the field

Robust Speech Recognition Of Uncertain Or Missing Data

DOWNLOAD
Author : Dorothea Kolossa
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-07-14

Robust Speech Recognition Of Uncertain Or Missing Data written by Dorothea Kolossa and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-14 with Technology & Engineering categories.

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.

1998 Ieee International Conference On Acoustics Speech And Signal Processing

DOWNLOAD
Author : IEEE Signal Processing Society Staff
language : en
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
Release Date : 1998

1998 Ieee International Conference On Acoustics Speech And Signal Processing written by IEEE Signal Processing Society Staff and has been published by Institute of Electrical & Electronics Engineers(IEEE) this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.

Normalization And Transformation Techniques For Robust Speaker Recognition

DOWNLOAD
Author : Dalei Wu
language : en
Publisher:
Release Date : 2008

Normalization And Transformation Techniques For Robust Speaker Recognition written by Dalei Wu and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with categories.

In this section, we shall comment, mainly from two different perspectives, capacities and limitations of normalization and transformation methods at both score and feature levels. In one way, we discuss how these techniques help to reduce mismatch between training and test conditions is considered. In the second one, we discuss how these methods are combined with other parts of SR systems, as either early or late processing module. 5.1 Mismatch reduction How to deal with noises is a universal topic for robust speaker recognition. All the methods reviewed in this chapter are absolutely concerned with this topic. However, noises can normally be categorized into two groups, i.e., additive noise and convolutional noise. The additive noise further consists of environmental noise and cross-talking from other speakers, while convolutional noise is mainly caused by communication channels. For most noise, it occurs in a sudden and unpredictable way. Its interference results in a huge mismatch from the models trained before-hand, which in turn often severely degrades system performance. Thus, for robust speaker recognition, one of the key problems is how to reduce mismatch between different training and test scenarios. Of course, mismatch always exits, no matter how hard a system is carefully prepared. So a smart system knows how to compensate a variety of mismatches, whereas a poor system does not. We shall see, in such a context, how well each of the normalization methods works in terms of mismatch reduction.

Proceedings Of The 1998 Ieee International Conference On Acoustics Speech And Signal Processing

DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1998

Proceedings Of The 1998 Ieee International Conference On Acoustics Speech And Signal Processing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Electro-acoustics categories.