Speech To Text Systems And Technologies
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Speech Technology
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Author : Fang Chen
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-07-01
Speech Technology written by Fang Chen 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 2010-07-01 with Technology & Engineering categories.
This book gives an overview of the research and application of speech technologies in different areas. One of the special characteristics of the book is that the authors take a broad view of the multiple research areas and take the multidisciplinary approach to the topics. One of the goals in this book is to emphasize the application. User experience, human factors and usability issues are the focus in this book.
Voice Communication Between Humans And Machines
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Author : for the National Academy of Sciences
language : en
Publisher: National Academies Press
Release Date : 1994-02-01
Voice Communication Between Humans And Machines written by for the National Academy of Sciences and has been published by National Academies Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-02-01 with Technology & Engineering categories.
Science fiction has long been populated with conversational computers and robots. Now, speech synthesis and recognition have matured to where a wide range of real-world applicationsâ€"from serving people with disabilities to boosting the nation's competitivenessâ€"are within our grasp. Voice Communication Between Humans and Machines takes the first interdisciplinary look at what we know about voice processing, where our technologies stand, and what the future may hold for this fascinating field. The volume integrates theoretical, technical, and practical views from world-class experts at leading research centers around the world, reporting on the scientific bases behind human-machine voice communication, the state of the art in computerization, and progress in user friendliness. It offers an up-to-date treatment of technological progress in key areas: speech synthesis, speech recognition, and natural language understanding. The book also explores the emergence of the voice processing industry and specific opportunities in telecommunications and other businesses, in military and government operations, and in assistance for the disabled. It outlines, as well, practical issues and research questions that must be resolved if machines are to become fellow problem-solvers along with humans. Voice Communication Between Humans and Machines provides a comprehensive understanding of the field of voice processing for engineers, researchers, and business executives, as well as speech and hearing specialists, advocates for people with disabilities, faculty and students, and interested individuals.
An Introduction To Text To Speech Synthesis
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Author : Thierry Dutoit
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-01
An Introduction To Text To Speech Synthesis written by Thierry Dutoit 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 2013-12-01 with Technology & Engineering categories.
An Introduction to Text-to-Speech Synthesis is a comprehensive introduction to the subject. The author treats two areas of speech synthesis: Part I of the book concerns natural language processing and the inherent problems it presents for speech synthesis; Part II focuses on digital signal processing, with an emphasis on the concatenative approach. Both parts of the text guide the reader through the material in a step-by-step easy-to-follow way. This is the first book to treat the topic of speech synthesis from the perspective of two different engineering approaches. The book will be of interest to researchers and students in phonetics and speech communication, in both academia and industry.
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 Synthesis Concepts Technologies And Applications
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Author : Navneet Singh
language : en
Publisher: Navneet Singh
Release Date :
Speech Recognition Synthesis Concepts Technologies And Applications written by Navneet Singh and has been published by Navneet Singh this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
Table of Contents Introduction to Speech Technologies What is Speech Recognition? What is Speech Synthesis? History of Speech Technologies Applications in Modern Technology Key Concepts in Speech Processing The Basics of Speech Recognition Understanding Speech and Language Acoustic Models: Sound to Signal Language Models: From Words to Meaning Features Extraction Machine Learning Techniques in Speech Recognition The Challenges of Speech Recognition Variability in speech: Accents, Noises, Context The Recognition Pipeline: From Sound to Text The Basics of Speech Synthesis What is Text-to-Speech (TTS)? The Process of Generating Speech Unit Selection and Concatenative Synthesis Parametric Synthesis (HMM-based, Deep Learning models) Modern Approaches: WaveNet and Neural Networks Pros and Cons of Different Synthesis Techniques Applications of Speech Synthesis Key Technologies Behind Speech Recognition Signal Processing Techniques Hidden Markov Models (HMM) Neural Networks and Deep Learning in Speech Recognition End-to-End Systems in Speech Recognition Popular Speech Recognition Systems: Google, Siri, Alexa Key Technologies Behind Speech Synthesis Speech Signal Representation Text Preprocessing for TTS Synthesis Models: Statistical Parametric, Deep Learning, and Hybrid Models Voice Quality and Naturalness in TTS The Role of Prosody in TTS Speech Recognition and Synthesis in Real-World Applications Virtual Assistants and Smart Speakers Voice Search and Dictation Systems Accessibility Tools (e.g., Screen Readers, Voice Commands) Speech-based Translation Systems Healthcare (Speech-to-Text in Medical Records, Assistive Technologies) Speech in Automotive Systems and IoT Devices Advanced Topics in Speech Recognition Speaker Recognition and Adaptation Multilingual Speech Recognition Noise Robustness in Speech Recognition Real-Time Recognition and Low-Latency Systems Challenges of Speech Recognition in Unstructured Environments Advanced Topics in Speech Synthesis Emotional Speech Synthesis Expressiveness and Personalization in TTS Custom Voice Generation Prosody Control and Natural Sounding Speech Challenges in Generating Natural Speech Speech Recognition and Synthesis in AI and NLP Integrating Speech Recognition with Natural Language Processing (NLP) Speech as Input in Dialogue Systems Conversational AI and Virtual Agents Transfer Learning and Fine-Tuning Models for Speech Ethical Considerations and Challenges Privacy and Data Security in Speech Systems Bias and Fairness in Speech Recognition Misuse of Speech Technologies (e.g., Deepfakes, Impersonation) Accessibility and Inclusivity Issues The Future of Speech Recognition and Synthesis The Role of AI and Machine Learning Multimodal Systems (Speech + Gesture + Vision) Advances in Real-Time Systems Voice Cloning and Deepfake Technologies The Road Ahead for Natural Language Interfaces Conclusion Summary of Key Concepts and Technologies The Impact of Speech Technologies on Society Future Research Directions
Speech Recognition Synthesis Theory Technology And Applications
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Author : Navneet Singh
language : en
Publisher: Navneet Singh
Release Date :
Speech Recognition Synthesis Theory Technology And Applications written by Navneet Singh and has been published by Navneet Singh this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
Table of Contents Introduction to Speech Technologies Overview of Speech Recognition & Synthesis Historical Background and Evolution Key Terminologies Applications and Use Cases Fundamentals of Speech Recognition Acoustic Model Language Model Feature Extraction Signal Processing Techniques Speech Recognition Techniques Traditional Methods (Hidden Markov Models, etc.) Deep Learning Approaches End-to-End Models Voice Activity Detection (VAD) Phoneme Recognition and Transcription Speech Synthesis: An Overview Text-to-Speech (TTS) System Architecture Types of Speech Synthesis Concatenative Synthesis Parametric Synthesis Neural Network-based Synthesis (WaveNet, Tacotron, etc.) Signal Processing in Speech Digital Signal Processing (DSP) Fundamentals Spectrogram and Mel-frequency Cepstral Coefficients (MFCC) Preprocessing Techniques Noise Reduction and Echo Cancellation Deep Learning in Speech Technologies Convolutional Neural Networks (CNNs) for Speech Recognition Recurrent Neural Networks (RNNs) and Long Short-Term Memory (LSTM) Networks Transformer Models in Speech Recognition and Synthesis Generative Adversarial Networks (GANs) in Speech Synthesis Natural Language Processing (NLP) for Speech Speech Recognition and NLP Integration Named Entity Recognition (NER) and Intent Detection Dialogue Systems and Conversational AI Contextual Understanding in Speech Applications Speech Recognition and Synthesis Systems Open-Source and Commercial Speech Recognition Tools Kaldi DeepSpeech Google Speech-to-Text Microsoft Azure Speech API Speech Synthesis Tools and Frameworks eSpeak Festival Google Cloud Text-to-Speech Amazon Polly Challenges in Speech Recognition Accents and Dialects Noise and Environmental Challenges Real-time Processing Language Barriers Multimodal Interaction Challenges Challenges in Speech Synthesis Naturalness vs. Clarity Emotional Tone and Expressiveness Multilingual Synthesis Data Scarcity and Collection Issues Ethical Considerations and Privacy Voice Biometrics and Security Concerns Ethical Use of Speech Data Speech Data Privacy and Anonymity Accessibility and Inclusion Applications of Speech Recognition & Synthesis Virtual Assistants (Siri, Alexa, Google Assistant) Healthcare Applications (Speech-to-Text for Doctors, Assistive Technologies) Automotive Industry (Voice-activated Navigation Systems) Smart Home Automation Language Learning Tools Future Trends in Speech Technologies Multilingual and Multimodal Speech Recognition Real-Time Synthesis and Interactive Voice Applications Voice-based Emotion Recognition Advances in Neural TTS (Text-to-Speech) Systems Integration with Other AI Technologies Conclusion Summary of Key Concepts Emerging Research Areas The Future of Speech Recognition & Synthesis
Speech Recognition Synthesis Principles Technologies And Applications
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Author : Navneet Singh
language : en
Publisher: Navneet Singh
Release Date :
Speech Recognition Synthesis Principles Technologies And Applications written by Navneet Singh and has been published by Navneet Singh this book supported file pdf, txt, epub, kindle and other format this book has been release on with Antiques & Collectibles categories.
Table of Contents Introduction to Speech Technology History of Speech Recognition & Synthesis Importance in Modern Applications Key Concepts and Terminology Fundamentals of Speech Recognition Acoustic Signals and Phonetics Speech Processing Basics Feature Extraction Techniques (MFCC, LPC, etc.) Models of Speech Recognition (HMM, DNN, RNN, Transformer) Advanced Speech Recognition Techniques End-to-End Models Neural Networks in Speech Recognition Speech-to-Text Systems Handling Accents, Noisy Environments, and Multilingual Speech Speech Synthesis (Text-to-Speech) Introduction to Text-to-Speech (TTS) Concatenative Synthesis Parametric Synthesis Neural TTS Models (Tacotron, WaveNet, FastSpeech) Integration of Speech Recognition & Synthesis Speech-to-Speech Translation Conversational AI Systems (Chatbots, Virtual Assistants) Real-Time Applications Applications of Speech Technology Healthcare (Voice Biometrics, Assistive Technologies) Automotive (Voice-Control Systems) Smart Devices and IoT Accessibility Solutions Challenges in Speech Technology Language Variability and Dialects Noise Robustness Ethical Considerations (Privacy, Deepfakes) Future Trends in Speech Technology Advances in AI and Deep Learning Multimodal Systems Speech Biometrics and Security Case Studies and Real-World Implementations Google Assistant, Siri, Alexa Speech Recognition in Healthcare Language Learning Apps
Assistive Technologies Concepts Methodologies Tools And Applications
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Author : Management Association, Information Resources
language : en
Publisher: IGI Global
Release Date : 2013-08-31
Assistive Technologies Concepts Methodologies Tools And Applications written by Management Association, Information Resources and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-31 with Computers categories.
Individuals with disabilities often have difficulty accomplishing tasks, living independently, and utilizing information technologies; simple aspects of daily life taken for granted by non-disabled individuals. Assistive Technologies: Concepts, Methodologies, Tools, and Applications presents a comprehensive collection of research, developments, and knowledge on technologies that enable disabled individuals to function effectively and accomplish otherwise impossible tasks. These volumes serve as a crucial reference source for experts in fields as diverse as healthcare, information science, education, engineering, and human-computer interaction, with applications bridging multiple disciplines.
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.
Artificial Intelligence And Speech Technology
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Author : Amita Dev
language : en
Publisher: Springer Nature
Release Date : 2022-01-28
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 2022-01-28 with Computers categories.
This volume constitutes selected papers presented at the Third International Conference on Artificial Intelligence and Speech Technology, AIST 2021, held in Delhi, India, in November 2021. The 36 full papers and 18 short papers presented were thoroughly reviewed and selected from the 178 submissions. They provide a discussion on application of Artificial Intelligence tools in speech analysis, representation and models, spoken language recognition and understanding, affective speech recognition, interpretation and synthesis, speech interface design and human factors engineering, speech emotion recognition technologies, audio-visual speech processing and several others.