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Automatic Speech Recognition - Lecture 2

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

Tags

Machine Learning Courses Signal Processing Courses Hidden Markov Models Courses Feature Extraction Courses Pattern Recognition Courses

Course Description

Overview

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Explore the fundamentals of automatic speech recognition in this comprehensive lecture delivered by Dimitra Vergyri at the Center for Language & Speech Processing (CLSP) at Johns Hopkins University in 2008. Delve into advanced concepts and techniques used in speech recognition systems, building upon the foundations established in the first lecture of the series. Gain insights into the latest developments in the field as of 2008, including improved algorithms, feature extraction methods, and acoustic modeling approaches. Learn about the challenges faced in speech recognition and the innovative solutions proposed to overcome them. Enhance your understanding of the underlying principles that drive modern speech recognition technologies through this in-depth, 77-minute presentation by a leading expert in the field.

Syllabus

Automatic Speech Recognition Lecture II - Dimitra Vergyri - 2008


Taught by

Center for Language & Speech Processing(CLSP), JHU

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