activity
20192026
most citedA multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images

43 citations · 236 across the 34 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cs.CR2021★ 11 cited

Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings

Tiantian Feng, Hanieh Hashemi, Rajat Hebbar +2

Speech emotion recognition (SER) processes speech signals to detect and characterize expressed perceived emotions. Many SER application systems often acquire and transmit speech da…

cs.CL2021

An Automated Quality Evaluation Framework of Psychotherapy Conversations with Local Quality Estimates

Zhuohao Chen, Nikolaos Flemotomos, Karan Singla +3

Text-based computational approaches for assessing the quality of psychotherapy are being developed to support quality assurance and clinical training. However, due to the long dura…

eess.AS2021

Unsupervised Speech Representation Learning for Behavior Modeling using Triplet Enhanced Contextualized Networks

Haoqi Li, Brian Baucom, Shrikanth Narayanan +1

Speech encodes a wealth of information related to human behavior and has been used in a variety of automated behavior recognition tasks. However, extracting behavioral information…

cs.SD2021

Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion Recognition

Haoqi Li, Yelin Kim, Cheng-Hao Kuo +1

Key challenges in developing generalized automatic emotion recognition systems include scarcity of labeled data and lack of gold-standard references. Even for the cues that are lab…

eess.SP2021★ 43 cited

A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images

Yongwan Lim, Asterios Toutios, Yannick Bliesener +16

Real-time magnetic resonance imaging (RT-MRI) of human speech production is enabling significant advances in speech science, linguistics, bio-inspired speech technology development…

eess.IV2021

Attention-gated convolutional neural networks for off-resonance correction of spiral real-time MRI

Yongwan Lim, Shrikanth S. Narayanan, Krishna S. Nayak

Spiral acquisitions are preferred in real-time MRI because of their efficiency, which has made it possible to capture vocal tract dynamics during natural speech. A fundamental limi…