activity
20132023
most citedAutomated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies

102 citations · 746 across the 75 of their papers we have counts for

collaborators

84 papers

cs.LG2023

Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process

Tiantian Feng, Brandon M Booth, Shrikanth Narayanan

Continuously-worn wearable sensors enable researchers to collect copious amounts of rich bio-behavioral time series recordings of real-life activities of daily living, offering unp…

cs.SI2023

Socio-Linguistic Characteristics of Coordinated Inauthentic Accounts

Keith Burghardt, Ashwin Rao, Siyi Guo +6

Online manipulation is a pressing concern for democracies, but the actions and strategies of coordinated inauthentic accounts, which have been used to interfere in elections, are n…

eess.SP2023

Signal Processing Grand Challenge 2023 -- e-Prevention: Sleep Behavior as an Indicator of Relapses in Psychotic Patients

Kleanthis Avramidis, Kranti Adsul, Digbalay Bose +1

This paper presents the approach and results of USC SAIL's submission to the Signal Processing Grand Challenge 2023 - e-Prevention (Task 2), on detecting relapses in psychotic pati…

cs.SD2022★ 1 cited

Exploring Workplace Behaviors through Speaking Patterns using Large-scale Multimodal Wearable Recordings: A Study of Healthcare Providers

Tiantian Feng, Shrikanth Narayanan

Interpersonal spoken communication is central to human interaction and the exchange of information. Such interactive processes involve not only speech and spoken language but also…

cs.MM2022

Audio-Visual Activity Guided Cross-Modal Identity Association for Active Speaker Detection

Rahul Sharma, Shrikanth Narayanan

Active speaker detection in videos addresses associating a source face, visible in the video frames, with the underlying speech in the audio modality. The two primary sources of in…

eess.SP2022★ 1 cited

Multimodal Estimation of Change Points of Physiological Arousal in Drivers

Kleanthis Avramidis, Tiantian Feng, Digbalay Bose +1

Detecting unsafe driving states, such as stress, drowsiness, and fatigue, is an important component of ensuring driving safety and an essential prerequisite for automatic intervent…