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)

Authors

Meredith Moore

Meredith Moore

PhD Student Researcher

Hemanth Venkateswara

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

Executive Vice President, ASU Knowledge Enterprise; Chief Research and Innovation Officer; Director, Center for Cognitive Ubiquitous Computing (CUbiC); Foundation Chair in Computing and Informatics

Projects

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…