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.