Ganesh Sivaraman
Orcid: 0000-0001-9056-9855
According to our database1,
Ganesh Sivaraman
authored at least 34 papers
between 2001 and 2024.
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Bibliography
2024
Deciphering diffuse scattering with machine learning and the equivariant foundation model: The case of molten FeO.
CoRR, 2024
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
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
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
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
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
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
Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021
2020
Mach. Learn. Sci. Technol., 2020
An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide.
CoRR, 2020
Proceedings of the Odyssey 2020: The Speaker and Language Recognition Workshop, 2020
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
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
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018
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
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
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
Proceedings of the 2001 IEEE International Conference on Multimedia and Expo, 2001