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Speech Recognition - How speech recognition is going to cause disruption - cover

Speech Recognition - How speech recognition is going to cause disruption

Fouad Sabry

Editorial: One Billion Knowledgeable

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Sinopsis

What 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.
Disponible desde: 10/07/2022.
Longitud de impresión: 369 páginas.

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