activity
20162022
most citedSEP-28k: A Dataset for Stuttering Event Detection From Podcasts With People Who Stutter

1 citations · 2 across the 2 of their papers we have counts for

collaborators

5 papers

eess.AS20221 cited

Nonverbal Sound Detection for Disordered Speech

Colin Lea, Zifang Huang, Dhruv Jain +5

Voice assistants have become an essential tool for people with various disabilities because they enable complex phone- or tablet-based interactions without the need for fine-graine…

eess.AS2021

Analysis and Tuning of a Voice Assistant System for Dysfluent Speech

Vikramjit Mitra, Zifang Huang, Colin Lea +8

Dysfluencies and variations in speech pronunciation can severely degrade speech recognition performance, and for many individuals with moderate-to-severe speech disorders, voice op…

eess.AS20211 cited

SEP-28k: A Dataset for Stuttering Event Detection From Podcasts With People Who Stutter

Colin Lea, Vikramjit Mitra, Aparna Joshi +2

The ability to automatically detect stuttering events in speech could help speech pathologists track an individual's fluency over time or help improve speech recognition systems fo…

cs.CV2020

Audio- and Gaze-driven Facial Animation of Codec Avatars

Alexander Richard, Colin Lea, Shugao Ma +3

Codec Avatars are a recent class of learned, photorealistic face models that accurately represent the geometry and texture of a person in 3D (i.e., for virtual reality), and are al…

cs.CV2016

Recognizing Surgical Activities with Recurrent Neural Networks

Robert DiPietro, Colin Lea, Anand Malpani +5

We apply recurrent neural networks to the task of recognizing surgical activities from robot kinematics. Prior work in this area focuses on recognizing short, low-level activities,…