Abstract

Developments across the machine intelligence ecosystem, from sensing and computing to data sciences, are enabling new possibilities in advancing speech science and the creation of speech-centric societal technologies. A critical aspect of this endeavor requires addressing two intertwined challenges: illuminating the rich diversity in the speech across people and contexts and creating inclusive, trustworthy technologies that work for everyone. This talk will highlight three specific areas of advancement. The first is the capturing and modeling the human vocal instrument during speaking and selected related technological and clinical applications that leverage this technology (Hagedorn et al., 2019). The second relates to speech-based informatics tools for supporting screening, diagnosis and treatment of behavioral and mental health with broad access and scale. For example, remote multimodal sensing of speech …

Date

October 1, 2021

Authors

Shrikanth Narayanan, Dani Byrd

Journal

The Journal of the Acoustical Society of America

Volume

150

Issue

4_Supplement

Pages

A346-A346

Publisher

Acoustical Society of America