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
Natural Language ProcessingColumbia University via Coursera Bioinformatics Algorithms (Part 2)
University of California, San Diego via Coursera Finding Mutations in DNA and Proteins (Bioinformatics VI)
University of California, San Diego via Coursera Elaborazione del linguaggio naturale
University of Naples Federico II via Federica Dynamic Programming: Applications In Machine Learning and Genomics
University of California, San Diego via edX