Archana Venkataraman
12 papers · 2019–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Keywords
fundamental frequency
(3)
emotion conversion
(3)
speech synthesis
(3)
speech processing
(2)
highway network
(2)
graph convolutional network
(2)
multimodal learning
(1)
maximum likelihood estimation
(1)
attention mechanism
(1)
maximum likelihood
(1)
speaker generalization
(1)
schizophrenia classification
(1)
functional mri
(1)
latent representation
(1)
phonetic analysis
(1)
diffeomorphic registration
(1)
variational autoencoder
(1)
convolutional neural network
(1)
latent variable
(1)
speech analysis
(1)
Papers
BiSCoT: Behavior-Informed Subgroup-Consistent Connectome Template for Interpretable Brain Network Analysis
MICCAI 2025
Learning Explainable Imaging-Genetics Associations Related to a Neurological Disorder
MICCAI 2025
LLM-Powered Cross-Modal Alignment for Explainable Seizure Detection from EEG
MICCAI 2025
A Biologically Interpretable Graph Convolutional Network to Link Genetic Risk Pathways and Imaging Phenotypes of Disease
ICLR 2022
SZLoc: A Multi-resolution Architecture for Automated Epileptic Seizure Localization from Scalp EEG
MIDL 2022
M-GCN: A Multimodal Graph Convolutional Network to Integrate Functional and Structural Connectomics Data to Predict Multidimensional Phenotypic Characterizations
MIDL 2021
Multi-Speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network
Interspeech 2020
Non-Parallel Emotion Conversion Using a Deep-Generative Hybrid Network and an Adversarial Pair Discriminator
Interspeech 2020
A Multi-Speaker Emotion Morphing Model Using Highway Networks and Maximum Likelihood Objective
Interspeech 2019
Automated Emotion Morphing in Speech Based on Diffeomorphic Curve Registration and Highway Networks
Interspeech 2019
VESUS: A Crowd-Annotated Database to Study Emotion Production and Perception in Spoken English
Interspeech 2019
Weakly Supervised Syllable Segmentation by Vowel-Consonant Peak Classification
Interspeech 2019