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Author: Matt Anniss
Publisher: The Rosen Publishing Group
Published: 2013-12-30
Total Pages: 50
ISBN-13: 1482403978
DOWNLOAD EBOOKExplains how voice recognition technology works, how it has evolved over time, and what the technology is used for today.
Author: Dong Yu
Publisher: Springer
Published: 2014-11-11
Total Pages: 329
ISBN-13: 1447157796
DOWNLOAD EBOOKThis 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.
Author: Lawrence R. Rabiner
Publisher:
Published: 1993
Total Pages: 507
ISBN-13: 9788129701381
DOWNLOAD EBOOKAuthor: Milan Sigmund
Publisher: Tectum Verlag DE
Published: 2003
Total Pages: 114
ISBN-13: 9783828884922
DOWNLOAD EBOOKAuthor: Fouad Sabry
Publisher: One Billion Knowledgeable
Published: 2022-07-10
Total Pages: 435
ISBN-13:
DOWNLOAD EBOOKWhat Is Speech Recognition Computer science and computational linguistics have spawned a subfield known as speech recognition, which is an interdisciplinary field that focuses on the development of methodologies and technologies that enable computers to recognize and translate spoken language into text. The primary advantage of this is that the text can then be searched. Automatic speech recognition, sometimes abbreviated as ASR, is another name for it, as is computer speech recognition and voice to text (STT). The domains of computer science, linguistics, and computer engineering are all represented in its incorporation of knowledge and study. Speech synthesis is the process of doing things backwards. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Speech recognition Chapter 2: Computational linguistics Chapter 3: Natural language processing Chapter 4: Speech processing Chapter 5: Speech synthesis Chapter 6: Vector quantization Chapter 7: Pattern recognition Chapter 8: Lawrence Rabiner Chapter 9: Recurrent neural network Chapter 10: Julius (software) Chapter 11: Long short-term memory Chapter 12: Time delay neural network Chapter 13: Types of artificial neural networks Chapter 14: Deep learning Chapter 15: Nelson Morgan Chapter 16: Sinsy Chapter 17: Outline of machine learning Chapter 18: Steve Young (academic) Chapter 19: Tony Robinson (speech recognition) Chapter 20: Voice computing Chapter 21: Joseph Keshet (II) Answering the public top questions about speech recognition. (III) Real world examples for the usage of speech recognition in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of speech recognition' technologies. 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 speech recognition.
Author: Alexander Waibel
Publisher: Elsevier
Published: 1990-12-25
Total Pages: 640
ISBN-13: 0080515843
DOWNLOAD EBOOKAfter more than two decades of research activity, speech recognition has begun to live up to its promise as a practical technology and interest in the field is growing dramatically. Readings in Speech Recognition provides a collection of seminal papers that have influenced or redirected the field and that illustrate the central insights that have emerged over the years. The editors provide an introduction to the field, its concerns and research problems. Subsequent chapters are devoted to the main schools of thought and design philosophies that have motivated different approaches to speech recognition system design. Each chapter includes an introduction to the papers that highlights the major insights or needs that have motivated an approach to a problem and describes the commonalities and differences of that approach to others in the book.
Author: France Mihelič
Publisher: BoD – Books on Demand
Published: 2008-11-01
Total Pages: 580
ISBN-13: 953761929X
DOWNLOAD EBOOKChapters 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.
Author: Narayan Changder
Publisher: CHANGDER OUTLINE
Published: 2024-03-04
Total Pages: 18
ISBN-13:
DOWNLOAD EBOOKDecode verbal data with precision using this comprehensive MCQ mastery guide on speech recognition. Tailored for students, researchers, and developers, this resource offers a curated selection of practice questions covering key concepts, algorithms, and applications in speech recognition technology. Delve deep into acoustic modeling, language modeling, and speech signal processing while enhancing your problem-solving skills. Whether you're preparing for exams or seeking to reinforce your practical knowledge, this guide equips you with the tools needed to excel. Master speech recognition and unlock the potential of voice-enabled systems with confidence using this indispensable resource.
Author: Harry Francis Hollien
Publisher: Academic Press
Published: 2002
Total Pages: 264
ISBN-13: 9780123526212
DOWNLOAD EBOOKA reference for professionals who work with recorded evidence, covering areas such authentication of speech recordings, voice stress analysis, and speaker identification. It covers the basic sciences behind voice identification. It also covers what the reader needs to know about coordinating 'ear witness' lineups.
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
Published: 2024-05-14
Total Pages: 155
ISBN-13:
DOWNLOAD EBOOKWhat 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.
