Recent Advances in Robust Speech Recognition Technology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Recent Advances in Robust Speech Recognition Technology write by Javier Ramirez. This book was released on 2011. Recent Advances in Robust Speech Recognition Technology available in PDF, EPUB and Kindle. "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"
Recent Advances in Robust Speech Recognition Technology
Recent Advances in Robust Speech Recognition Technology - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Recent Advances in Robust Speech Recognition Technology write by Hirokazu Tohya. This book was released on 2011-02-10. Recent Advances in Robust Speech Recognition Technology available in PDF, EPUB and Kindle. "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"
Robustness in Automatic Speech Recognition
Robustness in Automatic Speech Recognition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Robustness in Automatic Speech Recognition write by Jean-Claude Junqua. This book was released on 2012-12-06. Robustness in Automatic Speech Recognition available in PDF, EPUB and Kindle. 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.
Speech Recognition Over Digital Channels
Speech Recognition Over Digital Channels - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Speech Recognition Over Digital Channels write by Antonio Peinado. This book was released on 2006-08-04. Speech Recognition Over Digital Channels available in PDF, EPUB and Kindle. Automatic speech recognition (ASR) is a very attractive means for human-machine interaction. The degree of maturity reached by speech recognition technologies during recent years allows the development of applications that use them. In particular, ASR shows an enormous potential in mobile environments, where devices such as mobile phones or PDAs are used, and for Internet Protocol (IP) applications. Speech Recognition Over Digital Channels is the first book of its kind to offer a complete system comprehension, addressing the topics of distributed and network-based speech recognition issues and standards, the concepts of speech processing and transmission, and system architectures and robustness. Describes the different client/server architectures for remote speech recognition systems, by means of which the client transmits speech parameters through a digital channel to a remote recognition server Focuses on robustness against both adverse acoustic environments (in the front-end) and bit errors/packet loss Discusses four ETSI standards for distributed speech recognition; the understanding of the standards and the technologies behind them Provides the necessary background for the comprehension of remote speech recognition technologies This book will appeal to a wide-ranging audience: engineers using speech recognition systems, researchers involved in ASR systems and those interested in processing and transmitting speech such as signal processing and communications communities. It will also be of interest to technical experts requiring an understanding of recognition over mobile and IP networks, and postgraduate students working on robust speech processing.
New Era for Robust Speech Recognition
New Era for Robust Speech Recognition - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook New Era for Robust Speech Recognition write by Shinji Watanabe. This book was released on 2017-10-30. New Era for Robust Speech Recognition available in PDF, EPUB and Kindle. 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.
