Download or read book Information Fusion for Robust Audio visual Speech Recognition written by You Zhang and published by . This book was released on 2000 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Towards Robust Audio Visual Speech Recognition written by Tofigh Naghibi and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Robust and Efficient Techniques for Audio visual Speech Recognition written by Sabri Gurbuz and published by . This book was released on 2002 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Multimodal Fusion with Applicaitons to Audio Visual Speech Recognition written by Stephen Mingyu Chu and published by . This book was released on 2003 with total page 174 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Sensor Fusion Weighting Measures in Audio visual Speech Recognition written by Trent W. Lewis and published by . This book was released on 2004 with total page 9 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Speech Recognition written by France Mihelič and published by BoD – Books on Demand. This book was released on 2008-11-01 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chapters in the first part of the book cover all the essential speech processing techniques for building robust, automatic speech recognition systems: the representation for speech signals and the methods for speech-features extraction, acoustic and language modeling, efficient algorithms for searching the hypothesis space, and multimodal approaches to speech recognition. The last part of the book is devoted to other speech processing applications that can use the information from automatic speech recognition for speaker identification and tracking, for prosody modeling in emotion-detection systems and in other speech processing applications that are able to operate in real-world environments, like mobile communication services and smart homes.
Download or read book A Multimodal Sensor Fusion Architecture for Audio Visual Speech Recognition written by Mustapha Makkook and published by . This book was released on 2007 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Adaptive Decision Fusion for Audio Visual Speech Recognition written by Jong-Seok Lee and published by . This book was released on 2008 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This chapter addressed the problem of information fusion for AVSR. We introduced the bimodal nature of speech production and perception by humans and defined the goal of audio-visual integration. We reviewed two existing approaches for implementing audiovisual fusion in AVSR systems and explained the preference of decision fusion to feature fusion for constructing noise-robust AVSR systems. For implementing a noise-robust AVSR system, different definitions of the reliability of a modality were discussed and compared. A neural network-based fusion method was described for effectively utilizing the reliability measures of the two modalities and producing noise-robust recognition performance over various noise conditions. It has been shown that we could successfully obtain the synergy of the two modalities. The audio-visual information fusion method shown in this chapter mainly aims at obtaining robust speech recognition performance, which may lack modelling of complicated humans' audio-visual speech perception processes. If we consider that the humans' speech.
Download or read book Multimodal Feature Extraction and Fusion for Audio visual Speech Recognition written by Mihai Gurban and published by . This book was released on 2009 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Audio Visual Speech Recognition written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-05-14 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Audio Visual Speech Recognition Audio visual speech recognition (AVSR) is a technique that uses image processing capabilities in lip reading to aid speech recognition systems in recognizing undeterministic phones or giving preponderance among near probability decisions. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Audio-visual speech recognition Chapter 2: Data compression Chapter 3: Speech recognition Chapter 4: Speech synthesis Chapter 5: Affective computing Chapter 6: Spectrogram Chapter 7: Lip reading Chapter 8: Face detection Chapter 9: Feature (machine learning) Chapter 10: Statistical classification (II) Answering the public top questions about audio visual speech recognition. (III) Real world examples for the usage of audio visual speech recognition in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Audio Visual Speech Recognition.
Download or read book Visual Speech Recognition Lip Segmentation and Mapping written by Liew, Alan Wee-Chung and published by IGI Global. This book was released on 2009-01-31 with total page 572 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book introduces the readers to the various aspects of visual speech recognitions, including lip segmentation from video sequence, lip feature extraction and modeling, feature fusion and classifier design for visual speech recognition and speaker verification" résumé de l'éditeur.
Download or read book Multi Modal Sensory Fusion with Application to Audio Visual Speech Recognition written by Stephen M. Chu and published by . This book was released on 2002 with total page 4 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this work we consider the bimodal fusion problem in audio-visual speech recognition. A novel sensory fission architecture based on the coupled hidden Markov models (CHMMs) is presented. CHMMs are directed graphical models of stochastic processes and are a special type of dynamic Bayesian networks. The proposed fusion architecture allows us to address the statistical modeling and the fission of audio-visual speech in a unified framework. Furthermore, the architecture is capable of capturing the asynchronous and temporal inter-modal dependencies between the two information channels. We describe a model transformation strategy to facilitate inference and learning in CHMMs. Results from audio-visual speech recognition experiments confirmed the superior capability of the proposed fusion architecture.
Download or read book Information Systems and Technologies written by Alvaro Rocha and published by Springer Nature. This book was released on with total page 700 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book New Era for Robust Speech Recognition written by Shinji Watanabe and published by Springer. This book was released on 2017-10-30 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Audiovisual Speech Processing written by Gérard Bailly and published by Cambridge University Press. This book was released on 2012-04-26 with total page 507 pages. Available in PDF, EPUB and Kindle. Book excerpt: When we speak, we configure the vocal tract which shapes the visible motions of the face and the patterning of the audible speech acoustics. Similarly, we use these visible and audible behaviors to perceive speech. This book showcases a broad range of research investigating how these two types of signals are used in spoken communication, how they interact, and how they can be used to enhance the realistic synthesis and recognition of audible and visible speech. The volume begins by addressing two important questions about human audiovisual performance: how auditory and visual signals combine to access the mental lexicon and where in the brain this and related processes take place. It then turns to the production and perception of multimodal speech and how structures are coordinated within and across the two modalities. Finally, the book presents overviews and recent developments in machine-based speech recognition and synthesis of AV speech.
Download or read book Intelligent Speech Signal Processing written by Nilanjan Dey and published by Academic Press. This book was released on 2019-03-27 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Highlights different data analytics techniques in speech signal processing, including machine learning and data mining Illustrates different applications and challenges across the design, implementation and management of intelligent systems and neural networks techniques for speech signal processing Includes coverage of biomodal speech recognition, voice activity detection, spoken language and speech disorder identification, automatic speech to speech summarization, and convolutional neural networks
Download or read book Automatic Speech Recognition written by Dong Yu and published by Springer. This book was released on 2014-11-11 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This 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.
