Vinayak Abrol

Orcid: 0000-0001-8149-8151

According to our database1, Vinayak Abrol authored at least 50 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
Incremental Trainable Parameter Selection in Deep Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., May, 2024

On the Quantization of Neural Models for Speaker Verification.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Statistically Guided Near-End Speech Intelligibility Improvement Through Voice Transformation and Transfer Learning.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

On characterizing the evolution of embedding space of neural networks using algebraic topology.
Pattern Recognit. Lett., 2024

2023
Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention.
CoRR, 2023

Towards on-Device Keyword Spotting using Low-Footprint Quaternion Neural Models.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2023

Multi-Layer Acoustic & Linguistic Feature Fusion for ComParE-23 Emotion and Requests Challenge.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Investigating Acoustic Cues for Multilingual Abuse Detection.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Near-end Intelligibility Improvement Through Voice Transformation in Transfer Learning Framework.
Proceedings of the 31st European Signal Processing Conference, 2023

Coordinate descent on the Stiefel manifold for deep neural network training.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022
Data Pre-Processing Using Neural Processes for Modeling Personalized Vital-Sign Time-Series Data.
IEEE J. Biomed. Health Informatics, 2022

Does Geometric Structure in Convolutional Filter Space Provide Filter Redundancy Information?
Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022

Time-Frequency and Geometric Analysis of Task-Dependent Learning in Raw Waveform Based Acoustic Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Improving Generative Modelling in VAEs Using Multimodal Prior.
IEEE Trans. Multim., 2021

Activation function design for deep networks: linearity and effective initialisation.
CoRR, 2021

Transfer Learning for Speech Intelligibility Improvement in Noisy Environments.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Classification of Infant Behavioural Traits using Acoustic Cry: An Empirical Study.
Proceedings of the 12th International Symposium on Image and Signal Processing and Analysis, 2021

2020
Learning Hierarchy Aware Embedding From Raw Audio for Acoustic Scene Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks.
CoRR, 2020

A Model-Based Derivative-Free Approach to Black-Box Adversarial Examples: BOBYQA.
CoRR, 2020

A Geometric Approach to Archetypal Analysis via Sparse Projections.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Understanding and Visualizing Raw Waveform-Based CNNs.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

CONV-codes: Audio Hashing for Bird Species Classification.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Reducing footprint of unit selection based text-to-speech system using compressed sensing and sparse representation.
Comput. Speech Lang., 2018

Sparse coding based features for speech units classification.
Comput. Speech Lang., 2018

Spatial sparsification and low rank projection for fast analysis of multi-subject resting state fMRI data.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

The model order limit: Deep sparse factorization for resting brain.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Deep Convex Representations: Feature Representations for Bioacoustics Classification.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Compressed Convex Spectral Embedding for Bird Species Classification.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Deep-Sparse-Representation-Based Features for Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Rényi entropy based mutual information for semi-supervised bird vocalization segmentation.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Fast exemplar selection algorithm for matrix approximation and representation: A variant oASIS algorithm.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Class specific GMM based sparse feature for speech units classification.
Proceedings of the 25th European Signal Processing Conference, 2017

Archetypal analysis based sparse convex sequence kernel for bird activity detection.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Greedy double sparse dictionary learning for sparse representation of speech signals.
Speech Commun., 2016

Greedy dictionary learning for kernel sparse representation based classifier.
Pattern Recognit. Lett., 2016

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).
CoRR, 2016

Fast and robust FMRI unmixing using hierarchical dictionary learning.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Speech emotion recognition using kernel sparse representation based classifier.
Proceedings of the 24th European Signal Processing Conference, 2016

Making sense of randomness: Fast signal recovery from compressive samples.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Voiced/nonvoiced detection in compressively sensed speech signals.
Speech Commun., 2015

Making sense of randomness: an approach for fast recovery of compressively sensed signals.
CoRR, 2015

Supervised speech enhancement using compressed sensing.
Proceedings of the Twenty First National Conference on Communications, 2015

Compressed sensing for unit selection based speech synthesis.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Radio model for sector coded transmission protocol.
Proceedings of the Eleventh International Conference on Wireless and Optical Communications Networks, 2014

2013
Individual vs cooperative spectrum sensing for Cognitive Radio Networks.
Proceedings of the Tenth International Conference on Wireless and Optical Communications Networks, 2013

Optimized cluster head selection & rotation for cooperative spectrum sensing in Cognitive Radio Networks.
Proceedings of the Tenth International Conference on Wireless and Optical Communications Networks, 2013

Speech enhancement using compressed sensing.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013


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