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Speech Recognition - 2000

Offered By: Center for Language & Speech Processing(CLSP), JHU via YouTube

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Speech Recognition Courses Machine Learning Courses Signal Processing Courses Hidden Markov Models Courses Audio Processing Courses Pattern Recognition Courses

Course Description

Overview

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Explore the fundamentals of speech recognition in this comprehensive lecture delivered by Eric Fosler-Lussier at the Center for Language & Speech Processing (CLSP) at Johns Hopkins University in 2000. Delve into the core concepts, techniques, and challenges of automatic speech recognition systems as they stood at the turn of the millennium. Gain insights into the historical context, technological advancements, and future directions of speech recognition technology. Learn about acoustic modeling, language modeling, decoding algorithms, and evaluation metrics used in speech recognition systems. Understand the applications and limitations of speech recognition technology at that time, and how it has evolved in the decades since. This in-depth presentation offers a valuable historical perspective on the field of speech recognition for students, researchers, and professionals interested in the development of human-computer interaction and natural language processing technologies.

Syllabus

Eric Fosler-Lussier: Speech Recognition - 2000


Taught by

Center for Language & Speech Processing(CLSP), JHU

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