Speech Recognition
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Language Modeling For Automatic Speech Recognition Of Inflective Languages
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Author : Gregor Donaj
language : en
Publisher: Springer
Release Date : 2016-08-29
Language Modeling For Automatic Speech Recognition Of Inflective Languages written by Gregor Donaj and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-29 with Technology & Engineering categories.
This book covers language modeling and automatic speech recognition for inflective languages (e.g. Slavic languages), which represent roughly half of the languages spoken in Europe. These languages do not perform as well as English in speech recognition systems and it is therefore harder to develop an application with sufficient quality for the end user. The authors describe the most important language features for the development of a speech recognition system. This is then presented through the analysis of errors in the system and the development of language models and their inclusion in speech recognition systems, which specifically address the errors that are relevant for targeted applications. The error analysis is done with regard to morphological characteristics of the word in the recognized sentences. The book is oriented towards speech recognition with large vocabularies and continuous and even spontaneous speech. Today such applications work with a rather small number of languages compared to the number of spoken languages.
New Era For Robust Speech Recognition
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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.
Robust Speech Recognition In Embedded Systems And Pc Applications
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Author : Jean-Claude Junqua
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-18
Robust Speech Recognition In Embedded Systems And Pc Applications 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 2006-04-18 with Technology & Engineering categories.
Robust Speech Recognition in Embedded Systems and PC Applications provides a link between the technology and the application worlds. As speech recognition technology is now good enough for a number of applications and the core technology is well established around hidden Markov models many of the differences between systems found in the field are related to implementation variants. We distinguish between embedded systems and PC-based applications. Embedded applications are usually cost sensitive and require very simple and optimized methods to be viable. Robust Speech Recognition in Embedded Systems and PC Applications reviews the problems of robust speech recognition, summarizes the current state of the art of robust speech recognition while providing some perspectives, and goes over the complementary technologies that are necessary to build an application, such as dialog and user interface technologies. Robust Speech Recognition in Embedded Systems and PC Applications is divided into five chapters. The first one reviews the main difficulties encountered in automatic speech recognition when the type of communication is unknown. The second chapter focuses on environment-independent/adaptive speech recognition approaches and on the mainstream methods applicable to noise robust speech recognition. The third chapter discusses several critical technologies that contribute to making an application usable. It also provides some design recommendations on how to design prompts, generate user feedback and develop speech user interfaces. The fourth chapter reviews several techniques that are particularly useful for embedded systems or to decrease computational complexity. It also presents some case studies for embedded applications and PC-based systems. Finally, the fifth chapter provides a future outlook for robust speech recognition, emphasizing the areas that the author sees as the most promising for the future. Robust Speech Recognition in Embedded Systems and PC Applications serves as a valuable reference and although not intended as a formal University textbook, contains some material that can be used for a course at the graduate or undergraduate level. It is a good complement for the book entitled Robustness in Automatic Speech Recognition: Fundamentals and Applications co-authored by the same author.
Voice Activated Python Build Engaging Applications With Speech Recognition Technology
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Author : Susanne Coleman
language : en
Publisher: Jaroslav Zdanovic
Release Date : 2025-04-02
Voice Activated Python Build Engaging Applications With Speech Recognition Technology written by Susanne Coleman and has been published by Jaroslav Zdanovic this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-02 with Computers categories.
Voice-Activated Python: Build Engaging Applications with Speech Recognition Technology Introduction ------------ In the ever-evolving landscape of technology, integrating voice-activated systems has become a pivotal innovation. "Voice-Activated Python: Build Engaging Applications with Speech Recognition Technology" serves as your comprehensive guide to mastering this cutting-edge skill. This book is designed to help both beginners and seasoned developers harness the power of Python to create interactive and intuitive applications that respond to voice commands. Content That Captivates ----------------------- The book begins by laying a solid foundation in Python programming and the principles of speech recognition. It then gradually progresses to more complex topics, ensuring that readers of all levels can follow along and build their expertise. You will explore various speech recognition libraries and tools, learning how to implement them effectively in your projects. Detailed examples and hands-on exercises are provided to reinforce your learning and help you apply the concepts in real-world scenarios. Target Readers -------------- This book is ideal for Python enthusiasts, software developers, and tech-savvy individuals looking to expand their skill set.
Advancing Electromyographic Continuous Speech Recognition Signal Preprocessing And Modeling
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Author : Wand, Michael
language : en
Publisher: KIT Scientific Publishing
Release Date : 2015-02-04
Advancing Electromyographic Continuous Speech Recognition Signal Preprocessing And Modeling written by Wand, Michael and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-04 with Electronic computers. Computer science categories.
Speech is the natural medium of human communication, but audible speech can be overheard by bystanders and excludes speech-disabled people. This work presents a speech recognizer based on surface electromyography, where electric potentials of the facial muscles are captured by surface electrodes, allowing speech to be processed nonacoustically. A system which was state-of-the-art at the beginning of this book is substantially improved in terms of accuracy, flexibility, and robustness.
Techniques For Noise Robustness In Automatic Speech Recognition
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Author : Tuomas Virtanen
language : en
Publisher: John Wiley & Sons
Release Date : 2012-09-19
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 2012-09-19 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
Python Speaks A Guide To Developing Voice Controlled Apps With Speech Recognition
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Author : Marlene Welch
language : en
Publisher: Jaroslav Zdanovic
Release Date : 2025-03-31
Python Speaks A Guide To Developing Voice Controlled Apps With Speech Recognition written by Marlene Welch and has been published by Jaroslav Zdanovic this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-31 with Computers categories.
Discover the future of technology with Python Speaks, your comprehensive guide to developing cutting-edge voice-controlled applications using speech recognition. This book takes you on a journey through the fascinating world of voice interfaces, equipping you with the skills and knowledge to create innovative and interactive applications. Whether you're a seasoned developer or a curious beginner, this guide provides the tools and techniques needed to harness the power of voice in your projects. The book begins with an exploration of the fundamental concepts behind speech recognition technology, offering a clear and concise introduction to the basics. You'll learn about the history and evolution of voice interfaces, understanding how they have transformed the way we interact with devices. The initial chapters lay a solid foundation, ensuring you have a strong grasp of the underlying principles before diving into more complex topics. As you progress, Python Speaks delves into the practical aspects of developing voice-controlled applications. Detailed explanations and step-by-step tutorials walk you through the process of integrating speech recognition into your Python projects. You'll explore various libraries and tools, gaining hands-on experience with real-world examples and exercises. From basic voice commands to advanced natural language processing, this guide covers it all.
Artificial Intelligence And Speech Technology
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Author : Amita Dev
language : en
Publisher: Springer Nature
Release Date : 2024-11-23
Artificial Intelligence And Speech Technology written by Amita Dev and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-23 with Computers categories.
This two-volume set, CCIS 2267 and 2268, constitutes the refereed proceedings of 5th International Conference on Artificial Intelligence and Speech Technology, AIST 2023, held in Delhi, India, during December 26–27, 2023. The 71 papers presented in two volumes were carefully reviewed and selected from 235 submissions. Part I focuses on Speech Technology using AI and Part II focuses on AI innovations for CV and NLP. These volumes are organized in the following topical sections: Part I: Trends and Applications in Speech Processing; Recent Trends in Speech and NLP; Emerging trends in Speech Processing; Advances in Computational Linguistics and NLP. Part II: Recent Trends in Machine Learning and Deep Learning; Analysis using Hybrid technologies with Artificial Intelligence; Exploring New Horizons in Computer Vision Research; Applications of Machine Learning and Deep Learning.
Robust Speech Recognition Of Uncertain Or Missing Data
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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.
Cio
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Author :
language : en
Publisher:
Release Date : 1992-04-15
Cio written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-04-15 with categories.
CIO magazine, launched in 1987, provides business technology leaders with award-winning analysis and insight on information technology trends and a keen understanding of IT’s role in achieving business goals.