Speech Recognition: Fundamentals and Applications

Computer science and computational linguistics include a subfield called speech recognition that focuses on the development of approaches and technologies that enable computers to recognize spoken language and translate it into text. Speech recognition is an interdisciplinary subfield of computer science. It is also known as computer speech recognition (CSR) and speech to text (STT). Another name for it is automatic speech recognition (ASR). 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: Pattern recognition

Chapter 6: Language model

Chapter 7: Deep learning

Chapter 8: Recurrent neural network

Chapter 9: Long short-term memory

Chapter 10: Voice computing

(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.