Deep Audio Visual Speech Recognition
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Deep Audio Visual Speech Recognition
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Author : Pingchuan Ma
language : en
Publisher:
Release Date : 2022
Deep Audio Visual Speech Recognition written by Pingchuan Ma and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
Blind Speech Separation
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Author : Shoji Makino
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-07
Blind Speech Separation written by Shoji Makino 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 2007-09-07 with Technology & Engineering categories.
This is the world’s first edited book on independent component analysis (ICA)-based blind source separation (BSS) of convolutive mixtures of speech. This book brings together a small number of leading researchers to provide tutorial-like and in-depth treatment on major ICA-based BSS topics, with the objective of becoming the definitive source for current, comprehensive, authoritative, and yet accessible treatment.
Automatic Speech Recognition
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Author : Dong Yu
language : en
Publisher: Springer
Release Date : 2014-11-11
Automatic Speech Recognition written by Dong Yu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-11 with Technology & Engineering categories.
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.
Speech Recognition Using Deep Learning
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Author : Dr. Narendrababu Reddy G,
language : en
Publisher: Archers & Elevators Publishing House
Release Date :
Speech Recognition Using Deep Learning written by Dr. Narendrababu Reddy G, and has been published by Archers & Elevators Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
Deep Learning Approach For Natural Language Processing Speech And Computer Vision
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Author : L. Ashok Kumar
language : en
Publisher: CRC Press
Release Date : 2023-05-22
Deep Learning Approach For Natural Language Processing Speech And Computer Vision written by L. Ashok Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-22 with Business & Economics categories.
Deep Learning Approach for Natural Language Processing, Speech, and Computer Vision provides an overview of general deep learning methodology and its applications of natural language processing (NLP), speech, and computer vision tasks. It simplifies and presents the concepts of deep learning in a comprehensive manner, with suitable, full-fledged examples of deep learning models, with an aim to bridge the gap between the theoretical and the applications using case studies with code, experiments, and supporting analysis. Features: Covers latest developments in deep learning techniques as applied to audio analysis, computer vision, and natural language processing. Introduces contemporary applications of deep learning techniques as applied to audio, textual, and visual processing. Discovers deep learning frameworks and libraries for NLP, speech, and computer vision in Python. Gives insights into using the tools and libraries in Python for real-world applications. Provides easily accessible tutorials and real-world case studies with code to provide hands-on experience. This book is aimed at researchers and graduate students in computer engineering, image, speech, and text processing.
Audio Visual Speech Recognition
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Author : Fouad Sabry
language : en
Publisher: One Billion Knowledgeable
Release Date : 2024-05-14
Audio Visual Speech Recognition written by Fouad Sabry and has been published by One Billion Knowledgeable this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-14 with Computers categories.
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.
Audio Processing And Speech Recognition
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Author : Soumya Sen
language : en
Publisher: Springer
Release Date : 2019-01-30
Audio Processing And Speech Recognition written by Soumya Sen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-30 with Technology & Engineering categories.
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.
Neural Information Processing
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Author : Teddy Mantoro
language : en
Publisher: Springer Nature
Release Date : 2021-12-06
Neural Information Processing written by Teddy Mantoro and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-06 with Computers categories.
The four-volume proceedings LNCS 13108, 13109, 13110, and 13111 constitutes the proceedings of the 28th International Conference on Neural Information Processing, ICONIP 2021, which was held during December 8-12, 2021. The conference was planned to take place in Bali, Indonesia but changed to an online format due to the COVID-19 pandemic. The total of 226 full papers presented in these proceedings was carefully reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms; Part II: Theory and algorithms; human centred computing; AI and cybersecurity; Part III: Cognitive neurosciences; reliable, robust, and secure machine learning algorithms; theory and applications of natural computing paradigms; advances in deep and shallow machine learning algorithms for biomedical data and imaging; applications; Part IV: Applications.
Ieis 2022
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Author : Menggang Li
language : en
Publisher: Springer Nature
Release Date : 2023-08-04
Ieis 2022 written by Menggang Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-04 with Business & Economics categories.
This proceedings book selects a great deal of research achievements in industrial restructuring strategy, industrial organization, industrial policy, departmental economic research, industrial competitiveness, regional industrial structure, national industrial economic security theory, and empirical research, and it emphasizes on combining theory with practice. With the economic globalization, there have been many new phenomena, new situations, and new challenges in the industries in many countries. The proceedings aim to discuss the problems in industrial economics and industrial security theories and practices. It is the documentation of the conference “9th International Conference on Industrial Economics System and Industrial Security Engineering”. Due to the impact of COVID-19, IEIS2022 took place online as a virtual conference.
Robust Automatic Speech Recognition
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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