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Robust Automatic Speech Recognition

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Robust Automatic Speech Recognition

Robust Automatic Speech Recognition Book
Author : Jinyu Li,Li Deng,Yifan Gong,Reinhold Hab-Umbach
Publisher : Academic Press
Release : 2015-10-15
ISBN : 9780128023983
Language : En, Es, Fr & De

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Book Description :

" Robust Automatic Speech Recognition: A Bridge to Practical Applications" establishes a solid and consistent foundation for noise-robust automatic speech recognition (ASR) and provides a thorough overview of modern noise-robust techniques which have been developed over the past 30 years. The book emphasizes practical methods that are proven to be successful, also discussing those that are likely to be developed further for future applications. In addition, the pros and cons of using noise-robust ASR techniques for different applications are given, providing users with a practical guide to selecting the best methods for future applications. Connects noise-robust speech recognition methods to machine learning technologiesContains a unified, state-of-the-art survey of successful noise robust speech recognition technologiesProvides several ways to classify noise-robust speech recognition technologies into different categoriesAuthored by leading researchers at Microsoft

Robust Automatic Speech Recognition

Robust Automatic Speech Recognition Book
Author : Jinyu Li,Li Deng,Reinhold Haeb-Umbach,Yifan Gong
Publisher : Academic Press
Release : 2015-10-30
ISBN : 0128026162
Language : En, Es, Fr & De

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Book Description :

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

Robustness in Automatic Speech Recognition

Robustness in Automatic Speech Recognition Book
Author : Jean-Claude Junqua,Jean-Paul Haton
Publisher : Springer
Release : 1996
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

The domain of speech processing has come to the point where researchers and engineers are concerned with how speech technology can be applied to new products, and how this technology will transform our future. One important problem is to improve robustness of speech processing under adverse conditions, which is the subject of this book. Robust speech processing is a relatively new area which became a concern as technology started moving from laboratory to field applications. A method or an algorithm is robust if it can deal with a broad range of applications and adapt to unknown conditions. Robustness in Automatic Speech Recognition addresses all of the fundamental problems and issues in the area. The book is divided into three parts. The first provides the background necessary for understanding the rest of the material. It also emphasizes the problems of speech production and perception in noise along with popular techniques used in speech analysis and automatic speech recognition. Part Two discusses the problems relevant to robustness in automatic speech recognition and speech-based applications. It emphasizes intra- and inter-speaker variability as well as automatic speech recognition of Lombard, noisy and channel distorted speech. Finally, the third part covers recent advances in the field of robust automatic speech recognition. Audience: An invaluable reference. May be used as a text for advanced courses on the subject.

Robust Automatic Speech Recognition

Robust Automatic Speech Recognition Book
Author : William J. J. Roberts
Publisher : Unknown
Release : 1996
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Robust Automatic Speech Recognition book written by William J. J. Roberts, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Robust Automatic Speech Recognition with Missing and Unreliable Data

Robust Automatic Speech Recognition with Missing and Unreliable Data Book
Author : Ljubomir Josifovski,University of Sheffield
Publisher : Unknown
Release : 2002
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Robust Automatic Speech Recognition with Missing and Unreliable Data book written by Ljubomir Josifovski,University of Sheffield, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Empirical Mode Decomposition for Noise Robust Automatic Speech Recognition

Empirical Mode Decomposition for Noise Robust Automatic Speech Recognition Book
Author : 吳國豪,陳嘉平,國立中山大學資訊工程學系研究所
Publisher : Unknown
Release : 2010
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Empirical Mode Decomposition for Noise Robust Automatic Speech Recognition book written by 吳國豪,陳嘉平,國立中山大學資訊工程學系研究所, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Techniques for Noise Robustness in Automatic Speech Recognition

Techniques for Noise Robustness in Automatic Speech Recognition Book
Author : Tuomas Virtanen,Rita Singh,Bhiksha Raj
Publisher : John Wiley & Sons
Release : 2012-09-19
ISBN : 1118392663
Language : En, Es, Fr & De

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Book Description :

Automatic speech recognition (ASR) systems are findingincreasing use in everyday life. Many of the commonplaceenvironments where the systems are used are noisy, for exampleusers calling up a voice search system from a busy cafeteria or astreet. This can result in degraded speech recordings and adverselyaffect the performance of speech recognition systems. As theuse of ASR systems increases, knowledge of the state-of-the-art intechniques to deal with such problems becomes critical to systemand application engineers and researchers who work with or on ASRtechnologies. This book presents a comprehensive survey of thestate-of-the-art in techniques used to improve the robustness ofspeech recognition systems to these degrading externalinfluences. Key features: Reviews all the main noise robust ASR approaches, includingsignal separation, voice activity detection, robust featureextraction, model compensation and adaptation, missing datatechniques and recognition of reverberant speech. Acts as a timely exposition of the topic in light of morewidespread use in the future of ASR technology in challengingenvironments. Addresses robustness issues and signal degradation which areboth key requirements for practitioners of ASR. Includes contributions from top ASR researchers from leadingresearch units in the field

Auditory Front Ends for Noise Robust Automatic Speech Recognition

Auditory Front Ends for Noise Robust Automatic Speech Recognition Book
Author : 葉佳璋,陳嘉平,國立中山大學資訊工程學系研究所
Publisher : Unknown
Release : 2010
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Auditory Front Ends for Noise Robust Automatic Speech Recognition book written by 葉佳璋,陳嘉平,國立中山大學資訊工程學系研究所, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Informing Multisource Decoding in Robust Automatic Speech Recognition

Informing Multisource Decoding in Robust Automatic Speech Recognition Book
Author : Ning Ma
Publisher : Unknown
Release : 2008
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Informing Multisource Decoding in Robust Automatic Speech Recognition book written by Ning Ma, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Novel Speech Processing Techniques for Robust Automatic Speech Recognition

Novel Speech Processing Techniques for Robust Automatic Speech Recognition Book
Author : Vivek Tyagi
Publisher : Unknown
Release : 2006
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Novel Speech Processing Techniques for Robust Automatic Speech Recognition book written by Vivek Tyagi, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Auditory Based Modification of MFCC Feature Extraction for Robust Automatic Speech Recognition

Auditory Based Modification of MFCC Feature Extraction for Robust Automatic Speech Recognition Book
Author : 邱聖權,陳嘉平,國立中山大學. 資訊工程學系研究所
Publisher : Unknown
Release : 2009
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Auditory Based Modification of MFCC Feature Extraction for Robust Automatic Speech Recognition book written by 邱聖權,陳嘉平,國立中山大學. 資訊工程學系研究所, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Recent Advances in Robust Speech Recognition Technology

Recent Advances in Robust Speech Recognition Technology Book
Author : Javier Ramírez,Juan Manuel Górriz
Publisher : Bentham Science
Release : 2011-01-01
ISBN : 1608051722
Language : En, Es, Fr & De

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Book Description :

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 when the acoustical, articulate, or phonetic characteristics of speech in the training and testing environments differ. Obstacles to robust recognition include acoustical degradations produced by additive noise, the effects of linear filtering, nonlinearities in transduction or transmission, as well as impulsive interfering sources, and diminished accuracy caused by changes in articulation produced by the presence of high-intensity noise sources. Although progress over the past decade has been impressive, there are significant obstacles to overcome before speech recognition systems can reach their full potential. Automatic speech recognition (ASR) systems must be robust to all levels, so that they can handle background or channel noise, the occurrence on unfamiliar words, new accents, new users, or unanticipated inputs. They must exhibit more 'intelligence' and integrate speech with other modalities, deriving the user's intent by combining speech with facial expressions, eye movements, gestures, and other input features, and communicating back to the user through multimedia responses. Therefore, as speech recognition technology is transferred from the laboratory to the marketplace, robustness in recognition becomes increasingly significant. This E-book should be useful to computer engineers interested in recent developments in speech recognition technology.

Uncertainty Decoding for Reverberation Robust Automatic Speech Recognition

Uncertainty Decoding for Reverberation Robust Automatic Speech Recognition Book
Author : Roland Maas
Publisher : Unknown
Release : 2016
ISBN : 9783944057613
Language : En, Es, Fr & De

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Book Description :

Download Uncertainty Decoding for Reverberation Robust Automatic Speech Recognition book written by Roland Maas, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Advancing Noise Robust Automatic Speech Recognition for Command and Control Applications

Advancing Noise Robust Automatic Speech Recognition for Command and Control Applications Book
Author : Anonim
Publisher : Unknown
Release : 2006
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

This is a technical assessment paper intended for use by engineers and research scientist working on the development and integration of Automatic Speech Recognition (ASR), it will cover the state of speech and recognition technologies with emphasis on noise robust command and control (C2) application. The reliable elimination of the keyboard and mouse in mounted and un-mounted C2 systems has been a desire of systems developers and requirements writers since the development of PC-based ASR systems in the early 1990's. However, current research and commercial quality ASR applications never had the noise robustness to support a truly tactical C2 application. As ASR achieved limited operational success in noisy environments around the 2002 timeframe, the C2 requirements evolved to include the emerging system of systems approach and multilingual operational environments in support of the Global War On Terrorism (GWOT) in such environment's, the system must understand not just words as commands (ASR), but to understand phrases and sentences (semantic and syntactic) and reply in a conversational manner (speech and natural language generation). If the keyboard and mouse are to be truly eliminated, a system now needs to conduct a natural conversation with an operator and possibly others in the operational environment. This paper will cover the advances, limitations, and reasonable expectations from several levels: Research Scientist and Engineers, Program Executive Office (PEO), Program Manager (PM), and requirements office. I will also discuss the major technical challenges that remain as well as some risk assessment to help decision makers align expectations with reasonable availability dates based on current and future research efforts.

Supporting Human machine Interaction by Robust Automatic Speech Recognition

Supporting Human machine Interaction by Robust Automatic Speech Recognition Book
Author : Hendrik Meutzner
Publisher : Unknown
Release : 2019
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Supporting Human machine Interaction by Robust Automatic Speech Recognition book written by Hendrik Meutzner, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

ASR driven Binary Mask Estimation for Robust Automatic Speech Recognition

ASR driven Binary Mask Estimation for Robust Automatic Speech Recognition Book
Author : William Hartmann
Publisher : Unknown
Release : 2012
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

We present a method for estimating the ASR-driven binary mask using a discriminatively trained sequence model. The hypotheses generated by a first pass through a recognition system are used to estimate the mask. Our proposed method significantly outperforms several methods for estimating the ideal binary mask. We also outline how the system could be used to iteratively improve the estimation.