activity
20192022
most citedLeveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios

3 citations · 5 across the 9 of their papers we have counts for

collaborators

12 papers

eess.AS20221 cited

A Context-Aware Computational Approach for Measuring Vocal Entrainment in Dyadic Conversations

Rimita Lahiri, Md Nasir, Catherine Lord +2

Vocal entrainment is a social adaptation mechanism in human interaction, knowledge of which can offer useful insights to an individual's cognitive-behavioral characteristics. We pr…

cs.SD2022

On the Role of Visual Context in Enriching Music Representations

Kleanthis Avramidis, Shanti Stewart, Shrikanth Narayanan

Human perception and experience of music is highly context-dependent. Contextual variability contributes to differences in how we interpret and interact with music, challenging the…

cs.CL20223 cited

Leveraging Open Data and Task Augmentation to Automated Behavioral Coding of Psychotherapy Conversations in Low-Resource Scenarios

Zhuohao Chen, Nikolaos Flemotomos, Zac E. Imel +2

In psychotherapy interactions, the quality of a session is assessed by codifying the communicative behaviors of participants during the conversation through manual observation and…

cs.CV2022

MovieCLIP: Visual Scene Recognition in Movies

Digbalay Bose, Rajat Hebbar, Krishna Somandepalli +5

Longform media such as movies have complex narrative structures, with events spanning a rich variety of ambient visual scenes. Domain specific challenges associated with visual sce…

eess.AS2022

The 2022 Far-field Speaker Verification Challenge: Exploring domain mismatch and semi-supervised learning under the far-field scenario

Xiaoyi Qin, Ming Li, Hui Bu +2

FFSVC2022 is the second challenge of far-field speaker verification. FFSVC2022 provides the fully-supervised far-field speaker verification to further explore the far-field scenari…

eess.AS20221 cited

Mel Frequency Spectral Domain Defenses against Adversarial Attacks on Speech Recognition Systems

Nicholas Mehlman, Anirudh Sreeram, Raghuveer Peri +1

A variety of recent works have looked into defenses for deep neural networks against adversarial attacks particularly within the image processing domain. Speech processing applicat…