Ganesh Sivaraman

Orcid: 0000-0001-9056-9855

According to our database1, Ganesh Sivaraman authored at least 34 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Legend:

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Links

On csauthors.net:

Bibliography

2024
Deciphering diffuse scattering with machine learning and the equivariant foundation model: The case of molten FeO.
CoRR, 2024

Phonetic Richness for Improved Automatic Speaker Verification.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Audio Data Augmentation for Acoustic-to-Articulatory Speech Inversion.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
A Zero-Shot Approach to Identifying Children's Speech in Automatic Gender Classification.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Acoustic-to-articulatory Speech Inversion with Multi-task Learning.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Confidence Measure for Automatic Age Estimation From Speech.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Acoustic To Articulatory Speech Inversion Using Multi-Resolution Spectro-Temporal Representations Of Speech Signals.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Unsupervised Model Adaptation for End-to-End ASR.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Uncertainty-Informed Deep Transfer Learning of Perfluoroalkyl and Polyfluoroalkyl Substance Toxicity.
J. Chem. Inf. Model., 2021

Co-design Center for Exascale Machine Learning Technologies (ExaLearn).
Int. J. High Perform. Comput. Appl., 2021

Evening the Score: Targeting SARS-CoV-2 Protease Inhibition in Graph Generative Models for Therapeutic Candidates.
CoRR, 2021

Benchmarking Deep Graph Generative Models for Optimizing New Drug Molecules for COVID-19.
CoRR, 2021

Colmena: Scalable Machine-Learning-Based Steering of Ensemble Simulations for High Performance Computing.
Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

Proxima: accelerating the integration of machine learning in atomistic simulations.
Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021

2020
A machine learning workflow for molecular analysis: application to melting points.
Mach. Learn. Sci. Technol., 2020

An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide.
CoRR, 2020

Speech Bandwidth Expansion For Speaker Recognition On Telephony Audio.
Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

Generalization of Audio Deepfake Detection.
Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020

2019
Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech.
Comput. Speech Lang., 2019

Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide.
CoRR, 2019

Multi-Corpus Acoustic-to-Articulatory Speech Inversion.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Pindrop Labs' Submission to the First Multi-Target Speaker Detection and Identification Challenge.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018
Speech Synthesis in the Wild.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Noise Robust Acoustic to Articulatory Speech Inversion.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Smoothing Model Predictions Using Adversarial Training Procedures for Speech Based Emotion Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Hybrid convolutional neural networks for articulatory and acoustic information based speech recognition.
Speech Commun., 2017

Analysis of Acoustic-to-Articulatory Speech Inversion Across Different Accents and Languages.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Adversarial Auto-Encoders for Speech Based Emotion Recognition.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Joint modeling of articulatory and acoustic spaces for continuous speech recognition tasks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Vocal Tract Length Normalization for Speaker Independent Acoustic-to-Articulatory Speech Inversion.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2015
Analysis of coarticulated speech using estimated articulatory trajectories.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

2014
Articulatory features from deep neural networks and their role in speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2014

2001
System Software For Digital Television Applications.
Proceedings of the 2001 IEEE International Conference on Multimedia and Expo, 2001


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