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April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY
Taniya Mishra

Taniya Mishra
Lead Speech Scientist, Affectiva

Website

Taniya Mishra is the lead speech scientist at Affectiva, where her current research focuses on developing techniques for estimating human emotion from spoken utterances, with a goal to improve human-machine or human-human communication. These techniques involve training deep learning models from speech, either alone or in conjunction with other information streams, such as text or facial expressions, to estimate a speaker’s emotion about the topic at hand, their engagement in a task, their confidence, or their stress level. Taniya’s past research includes text-to-speech synthesis, voice search, and usage of the latter in child-directed and accessibility applications. Taniya has been a coauthor on more than 25 technical publications and has been awarded more than 12 patents related to speech technology. She is passionate about STEM education and mentoring. Taniya holds a PhD in computer science from the OGI School of Science and Engineering at OHSU.

Sessions

11:05am–11:45am Tuesday, May 1, 2018
Humanizing technology: Emotion detection from face and voice
Models and Methods
 Location: Concourse A
Taniya Mishra (Affectiva)
Drawing on Affectiva's experience building a multimodal emotion AI that can detect human emotions from face and voice, Taniya Mishra outlines various deep learning approaches for building multimodal emotion detection. Along the way, Taniya explains how to mitigate the challenges of data collection and annotation and how to avoid bias in model training. Read more.