Abstract

Speech is a uniquely human act that involves the conversion of discrete cognitive, linguistic representations to continuous, complex movements of speech articulators. By helping to understand better the variability and constraints of this conversion mechanism in healthy speech production, this project contributes to assessing speech disorders associated with neurological disease, such as apraxia. Moreover, it paves the way for novel science-driven paradigms to automatic synthesis of speech from text; a technology of increasing importance for social inclusion. It also provides a unique interdisciplinary training opportunity for students, integrating exposure to various facets of speech science research. Novel dynamic imaging data of speech production, analysis results, and derived models are shared with the broader research community.

Date

2019

Authors

Shrikanth S Narayanan

Journal

NSF Award Number 1908865. Directorate for Computer and Information Science and Engineering

Volume

19

Issue

1908865

Pages

8865