Vinayak Abrol

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 44

Top Topics

Sparse Representation

Dictionary Learning

Top Venues

Publications

Ritujoy Biswas, Karan Nathwani, Vinayak Abrol
Statistically Guided Near-End Speech Intelligibility Improvement Through Voice Transformation and Transfer Learning. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Tingting Zhu, David A. Clifton
Incremental Trainable Parameter Selection in Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35 (5) (2024)
Suryaka Suresh, Bishshoy Das, Vinayak Abrol, Sumantra Dutta Roy
On characterizing the evolution of embedding space of neural networks using algebraic topology. Pattern Recognit. Lett. 179 (2024)
Yash Thakran, Vinayak Abrol
Investigating Acoustic Cues for Multilingual Abuse Detection. INTERSPEECH (2023)
Siddhant R. Viksit, Vinayak Abrol
Multi-Layer Acoustic & Linguistic Feature Fusion for ComParE-23 Emotion and Requests Challenge. ACM Multimedia (2023)
Estelle M. Massart, Vinayak Abrol
Coordinate descent on the Stiefel manifold for deep neural network training. ESANN (2023)
Ritujoy Biswas, Karan Nathwani, Vinayak Abrol
Near-end Intelligibility Improvement Through Voice Transformation in Transfer Learning Framework. EUSIPCO (2023)
Aryan Chaudhary, Vinayak Abrol
Towards on-Device Keyword Spotting using Low-Footprint Quaternion Neural Models. WASPAA (2023)
Anshul Thakur, Tingting Zhu, Vinayak Abrol, Jacob Armstrong, Yujiang Wang, David A. Clifton
Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention. CoRR (2023)
Suryaka Suresh, Bishshoy Das, Vinayak Abrol, Sumantra Dutta Roy
On Characterizing the Evolution of Embedding Space of Neural Networks using Algebraic Topology. CoRR (2023)
Devansh Gupta, Vinayak Abrol
Time-Frequency and Geometric Analysis of Task-Dependent Learning in Raw Waveform Based Acoustic Models. ICASSP (2022)
Anshul Thakur, Vinayak Abrol, Pulkit Sharma
Does Geometric Structure in Convolutional Filter Space Provide Filter Redundancy Information? NeurReps (2022)
Estelle Massart, Vinayak Abrol
Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training. AAAI (2022)
Pulkit Sharma, Farah E. Shamout, Vinayak Abrol, David A. Clifton
Data Pre-Processing Using Neural Processes for Modeling Personalized Vital-Sign Time-Series Data. IEEE J. Biomed. Health Informatics 26 (4) (2022)
Estelle Massart, Vinayak Abrol
Coordinate descent on the orthogonal group for recurrent neural network training. CoRR (2021)
Michael Murray, Vinayak Abrol, Jared Tanner
Activation function design for deep networks: linearity and effective initialisation. CoRR (2021)
Vinayak Abrol, Pulkit Sharma, Arijit Patra
Improving Generative Modelling in VAEs Using Multimodal Prior. IEEE Trans. Multim. 23 (2021)
Ritujoy Biswas, Karan Nathwani, Vinayak Abrol
Transfer Learning for Speech Intelligibility Improvement in Noisy Environments. Interspeech (2021)
Sahil Jindal, Karan Nathwani, Vinayak Abrol
Classification of Infant Behavioural Traits using Acoustic Cry: An Empirical Study. ISPA (2021)
Vinayak Abrol, Pulkit Sharma
Learning Hierarchy Aware Embedding From Raw Audio for Acoustic Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Vinayak Abrol, Pulkit Sharma
A Geometric Approach to Archetypal Analysis via Sparse Projections. ICML (2020)
Giuseppe Ughi, Vinayak Abrol, Jared Tanner
An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks. CoRR (2020)
Giuseppe Ughi, Vinayak Abrol, Jared Tanner
A Model-Based Derivative-Free Approach to Black-Box Adversarial Examples: BOBYQA. CoRR (2020)
Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan
Conv-codes: Audio Hashing For Bird Species Classification. CoRR (2019)
Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan
CONV-codes: Audio Hashing for Bird Species Classification. ICASSP (2019)
Hannah Muckenhirn, Vinayak Abrol, Mathew Magimai-Doss, Sébastien Marcel
Understanding and Visualizing Raw Waveform-Based CNNs. INTERSPEECH (2019)
Pulkit Sharma, Vinayak Abrol, Nivedita, Anil Kumar Sao
Reducing footprint of unit selection based text-to-speech system using compressed sensing and sparse representation. Comput. Speech Lang. 52 (2018)
Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan
Compressed Convex Spectral Embedding for Bird Species Classification. ICASSP (2018)
Debadatta Dash, Vinayak Abrol, Anil Kumar Sao, Bharat B. Biswal
The model order limit: Deep sparse factorization for resting brain. ISBI (2018)
Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao
Sparse coding based features for speech units classification. Comput. Speech Lang. 47 (2018)
Pulkit Sharma, Vinayak Abrol, Anshul Thakur
ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM. INTERSPEECH (2018)
Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan
Deep Convex Representations: Feature Representations for Bioacoustics Classification. INTERSPEECH (2018)
Debadatta Dash, Vinayak Abrol, Anil Kumar Sao, Bharat B. Biswal
Spatial sparsification and low rank projection for fast analysis of multi-subject resting state fMRI data. ISBI (2018)
Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao
Class specific GMM based sparse feature for speech units classification. EUSIPCO (2017)
Pulkit Sharma, Vinayak Abrol, Anil Kumar Sao
Deep-Sparse-Representation-Based Features for Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 25 (11) (2017)
Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao
Fast exemplar selection algorithm for matrix approximation and representation: A variant oASIS algorithm. ICASSP (2017)
Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan
Rényi entropy based mutual information for semi-supervised bird vocalization segmentation. MLSP (2017)
Vinayak Abrol, Pulkit Sharma, Anshul Thakur, Padmanabhan Rajan, Aroor Dinesh Dileep, Anil Kumar Sao
Archetypal analysis based sparse convex sequence kernel for bird activity detection. EUSIPCO (2017)
Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao
Greedy dictionary learning for kernel sparse representation based classifier. Pattern Recognit. Lett. 78 (2016)
Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao
Making sense of randomness: Fast signal recovery from compressive samples. EUSIPCO (2016)
Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR (2016)
Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao
Greedy double sparse dictionary learning for sparse representation of speech signals. Speech Commun. 85 (2016)
Vinayak Abrol, Pulkit Sharma, Shahrooz Faghih Roohi, Anil Kumar Sao, Ashraf A. Kassim
Fast and robust FMRI unmixing using hierarchical dictionary learning. ICIP (2016)
Pulkit Sharma, Vinayak Abrol, Abhijeet Sachdev, Aroor Dinesh Dileep
Speech emotion recognition using kernel sparse representation based classifier. EUSIPCO (2016)
Pulkit Sharma, Vinayak Abrol, Anil Kumar Sao
Supervised speech enhancement using compressed sensing. NCC (2015)
Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao
Making sense of randomness: an approach for fast recovery of compressively sensed signals. CoRR (2015)
Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao
Sparse coding based features for speech units classification. INTERSPEECH (2015)
Pulkit Sharma, Vinayak Abrol, Anil Kumar Sao
Compressed sensing for unit selection based speech synthesis. EUSIPCO (2015)
Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao
Voiced/nonvoiced detection in compressively sensed speech signals. Speech Commun. 72 (2015)
Vinayak Abrol, Pulkit Sharma
Radio model for sector coded transmission protocol. WOCN (2014)
Pulkit Sharma, Vinayak Abrol
Individual vs cooperative spectrum sensing for Cognitive Radio Networks. WOCN (2013)
Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao
Speech enhancement using compressed sensing. INTERSPEECH (2013)
Pulkit Sharma, Vinayak Abrol
Optimized cluster head selection & rotation for cooperative spectrum sensing in Cognitive Radio Networks. WOCN (2013)