activity
20182022
most citedA Comparative Study of Data Augmentation Techniques for Deep Learning Based Emotion Recognition

3 citations · 3 across the 8 of their papers we have counts for

collaborators

12 papers

eess.AS2022

A Diffeomorphic Flow-based Variational Framework for Multi-speaker Emotion Conversion

Ravi Shankar, Hsi-Wei Hsieh, Nicolas Charon +1

This paper introduces a new framework for non-parallel emotion conversion in speech. Our framework is based on two key contributions. First, we propose a stochastic version of the…

eess.AS20223 cited

A Comparative Study of Data Augmentation Techniques for Deep Learning Based Emotion Recognition

Ravi Shankar, Abdouh Harouna Kenfack, Arjun Somayazulu +1

Automated emotion recognition in speech is a long-standing problem. While early work on emotion recognition relied on hand-crafted features and simple classifiers, the field has no…

eess.AS2021

A Deep-Bayesian Framework for Adaptive Speech Duration Modification

Ravi Shankar, Archana Venkataraman

We propose the first method to adaptively modify the duration of a given speech signal. Our approach uses a Bayesian framework to define a latent attention map that links frames of…

q-bio.NC2021

A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes

Niharika Shimona D'Souza, Mary Beth Nebel, Deana Crocetti +4

We propose a novel matrix autoencoder to map functional connectomes from resting state fMRI (rs-fMRI) to structural connectomes from Diffusion Tensor Imaging (DTI), as guided by su…

q-bio.QM2021

G-MIND: An End-to-End Multimodal Imaging-Genetics Framework for Biomarker Identification and Disease Classification

Sayan Ghosal, Qiang Chen, Giulio Pergola +10

We propose a novel deep neural network architecture to integrate imaging and genetics data, as guided by diagnosis, that provides interpretable biomarkers. Our model consists of an…

eess.IV2020

A Multi-Task Deep Learning Framework to Localize the Eloquent Cortex in Brain Tumor Patients Using Dynamic Functional Connectivity

Naresh Nandakumar, Niharika Shimona D'souza, Komal Manzoor +4

We present a novel deep learning framework that uses dynamic functional connectivity to simultaneously localize the language and motor areas of the eloquent cortex in brain tumor p…