A Reinforcement Learning Approach to Improving the Intelligibility of Dysarthric Speech

Publication Type:

Conference Proceedings

Authors:

Moore M, Venkateswara H, Panchanathan S

Source:

Neural Information System Processing (NIPS) Women in Machine Learning Workshop, Long Beach, CA (2017)

Keywords:

Dysarthric Speech, Reinforcement Learning, Speech and Speech Enhancement

Authors

Meredith Moore

PhD Student Researcher

Hemanth Venkateswara

Assistant Research Professor, School of Computing Informatics and Decision Systems Engineering; Associate Director, Center for Cognitive Ubiquitous Computing (CUbiC)

Dr. Sethuraman "Panch" Panchanathan

Dr. Sethuraman "Panch" Panchanathan

Director, National Science Foundation

Projects

Improving the Intelligibility of Dysarthric Speech

Speech is a complicated process with many potential breakpoints. Speech that is less intelligible due to a neurological disorder is referred to as dysarthric speech. Individuals with dysarthric speech generally find it difficult to communicate with unfamiliar…