Making Computers Good Listeners
Offered By: Center for Language & Speech Processing(CLSP), JHU via YouTube
Course Description
Overview
Explore a lecture on advanced speech and language processing techniques presented by Joseph Keshet from TTI Chicago. Delve into novel approaches for improving machine listening and understanding capabilities, including a new theorem linking learning updates to performance measures. Examine applications in phoneme-to-speech alignment, phoneme recognition, and automatic voice onset time measurement. Learn how these techniques surpass traditional methods like Hidden Markov Models and approach human-level reliability in certain tasks. Discover potential implications for medical applications such as monitoring Parkinson's disease and predicting cancer treatment effectiveness. Gain insights into cutting-edge research at the intersection of machine learning and speech processing from an expert in the field.
Syllabus
Making Computers Good Listeners – Joseph Keshet (TTI Chicago)
Taught by
Center for Language & Speech Processing(CLSP), JHU
Related Courses
Machine Learning Capstone: An Intelligent Application with Deep LearningUniversity of Washington via Coursera Elaborazione del linguaggio naturale
University of Naples Federico II via Federica Deep Learning for Natural Language Processing
University of Oxford via Independent Deep Learning Summer School
Independent Sequence Models
DeepLearning.AI via Coursera