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Vinayak Abrol
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2020 – today
- 2024
- [j13]Suryaka Suresh
, Bishshoy Das
On characterizing the evolution of embedding space of neural networks using algebraic topology. Pattern Recognit. Lett. 179: 165-171 (2024) - [j12]Ritujoy Biswas
Statistically Guided Near-End Speech Intelligibility Improvement Through Voice Transformation and Transfer Learning. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1445-1456 (2024) - [j11]Vishal Kumar
On the Quantization of Neural Models for Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4226-4236 (2024) - [j10]Anshul Thakur
Incremental Trainable Parameter Selection in Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(5): 6478-6491 (2024) - [c34]Vinayak Abrol, Anshul Thakur, Akshat Gupta, Xiaomo Liu, Sameena Shah:
Sampling Rate Adaptive Speaker Verification from Raw Waveforms. ICPR (28) 2024: 367-382 - [c33]Rantu Buragohain, Karan Nathwani, Suresh R. Devasahayam, Vinayak Abrol:
DBCIE: A Database for Brain-Computer Interface Using Electrophysiological Signal. SPCOM 2024: 1-5 - 2023
- [c32]Estelle M. Massart, Vinayak Abrol:
Coordinate descent on the Stiefel manifold for deep neural network training. ESANN 2023 - [c31]Ritujoy Biswas
Near-end Intelligibility Improvement Through Voice Transformation in Transfer Learning Framework. EUSIPCO 2023: 276-280 - [c30]Yash Thakran, Vinayak Abrol:
Investigating Acoustic Cues for Multilingual Abuse Detection. INTERSPEECH 2023: 3642-3646 - [c29]Siddhant R. Viksit
Multi-Layer Acoustic & Linguistic Feature Fusion for ComParE-23 Emotion and Requests Challenge. ACM Multimedia 2023: 9492-9495 - [c28]Aryan Chaudhary, Vinayak Abrol:
Towards on-Device Keyword Spotting using Low-Footprint Quaternion Neural Models. WASPAA 2023: 1-5 - [i9]Anshul Thakur, Tingting Zhu
Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention. CoRR abs/2305.03710 (2023) - [i8]Suryaka Suresh, Bishshoy Das, Vinayak Abrol, Sumantra Dutta Roy:
On Characterizing the Evolution of Embedding Space of Neural Networks using Algebraic Topology. CoRR abs/2311.04592 (2023) - 2022
- [j9]Pulkit Sharma
Data Pre-Processing Using Neural Processes for Modeling Personalized Vital-Sign Time-Series Data. IEEE J. Biomed. Health Informatics 26(4): 1528-1537 (2022) - [c27]Estelle M. Massart, Vinayak Abrol:
Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training. AAAI 2022: 7744-7751 - [c26]Devansh Gupta, Vinayak Abrol:
Time-Frequency and Geometric Analysis of Task-Dependent Learning in Raw Waveform Based Acoustic Models. ICASSP 2022: 4323-4327 - [c25]Anshul Thakur, Vinayak Abrol, Pulkit Sharma:
Does Geometric Structure in Convolutional Filter Space Provide Filter Redundancy Information? NeurReps 2022: 111-121 - 2021
- [j8]Vinayak Abrol
Improving Generative Modelling in VAEs Using Multimodal Prior. IEEE Trans. Multim. 23: 2153-2161 (2021) - [c24]Sahil Jindal, Karan Nathwani, Vinayak Abrol:
Classification of Infant Behavioural Traits using Acoustic Cry: An Empirical Study. ISPA 2021: 97-102 - [c23]Ritujoy Biswas
Transfer Learning for Speech Intelligibility Improvement in Noisy Environments. Interspeech 2021: 176-180 - [i7]Michael Murray, Vinayak Abrol, Jared Tanner:
Activation function design for deep networks: linearity and effective initialisation. CoRR abs/2105.07741 (2021) - [i6]Estelle M. Massart, Vinayak Abrol:
Coordinate descent on the orthogonal group for recurrent neural network training. CoRR abs/2108.00051 (2021) - 2020
- [j7]Vinayak Abrol
Learning Hierarchy Aware Embedding From Raw Audio for Acoustic Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1964-1973 (2020) - [c22]Vinayak Abrol, Pulkit Sharma:
A Geometric Approach to Archetypal Analysis via Sparse Projections. ICML 2020: 42-51 - [i5]Giuseppe Ughi, Vinayak Abrol, Jared Tanner:
A Model-Based Derivative-Free Approach to Black-Box Adversarial Examples: BOBYQA. CoRR abs/2002.10349 (2020) - [i4]Giuseppe Ughi, Vinayak Abrol, Jared Tanner:
An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks. CoRR abs/2012.01901 (2020)
2010 – 2019
- 2019
- [c21]Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan:
CONV-codes: Audio Hashing for Bird Species Classification. ICASSP 2019: 8241-8245 - [c20]Hannah Muckenhirn, Vinayak Abrol, Mathew Magimai-Doss, Sébastien Marcel:
Understanding and Visualizing Raw Waveform-Based CNNs. INTERSPEECH 2019: 2345-2349 - [i3]Anshul Thakur, Pulkit Sharma, Vinayak Abrol, Padmanabhan Rajan:
Conv-codes: Audio Hashing For Bird Species Classification. CoRR abs/1902.02498 (2019) - 2018
- [j6]Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao:
Sparse coding based features for speech units classification. Comput. Speech Lang. 47: 333-350 (2018) - [j5]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: 191-208 (2018) - [c19]Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan:
Compressed Convex Spectral Embedding for Bird Species Classification. ICASSP 2018: 261-265 - [c18]Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan:
Deep Convex Representations: Feature Representations for Bioacoustics Classification. INTERSPEECH 2018: 2127-2131 - [c17]Pulkit Sharma, Vinayak Abrol, Anshul Thakur:
ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM. INTERSPEECH 2018: 3299-3303 - [c16]Debadatta Dash
The model order limit: Deep sparse factorization for resting brain. ISBI 2018: 1244-1247 - [c15]Debadatta Dash
Spatial sparsification and low rank projection for fast analysis of multi-subject resting state fMRI data. ISBI 2018: 1280-1283 - 2017
- [j4]Pulkit Sharma, Vinayak Abrol, Anil Kumar Sao:
Deep-Sparse-Representation-Based Features for Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 25(11): 2162-2175 (2017) - [c14]Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao:
Class specific GMM based sparse feature for speech units classification. EUSIPCO 2017: 528-532 - [c13]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: 1774-1778 - [c12]Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao:
Fast exemplar selection algorithm for matrix approximation and representation: A variant oASIS algorithm. ICASSP 2017: 4436-4440 - [c11]Anshul Thakur, Vinayak Abrol, Pulkit Sharma, Padmanabhan Rajan:
Rényi entropy based mutual information for semi-supervised bird vocalization segmentation. MLSP 2017: 1-6 - 2016
- [j3]Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao:
Greedy dictionary learning for kernel sparse representation based classifier. Pattern Recognit. Lett. 78: 64-69 (2016) - [j2]Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao:
Greedy double sparse dictionary learning for sparse representation of speech signals. Speech Commun. 85: 71-82 (2016) - [c10]Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao:
Making sense of randomness: Fast signal recovery from compressive samples. EUSIPCO 2016: 56-60 - [c9]Pulkit Sharma, Vinayak Abrol, Abhijeet Sachdev, Aroor Dinesh Dileep:
Speech emotion recognition using kernel sparse representation based classifier. EUSIPCO 2016: 374-377 - [c8]Vinayak Abrol, Pulkit Sharma, Shahrooz Faghih Roohi, Anil Kumar Sao, Ashraf A. Kassim
Fast and robust FMRI unmixing using hierarchical dictionary learning. ICIP 2016: 714-718 - [i2]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 abs/1609.04167 (2016) - 2015
- [j1]Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao:
Voiced/nonvoiced detection in compressively sensed speech signals. Speech Commun. 72: 194-207 (2015) - [c7]Pulkit Sharma, Vinayak Abrol, Anil Kumar Sao:
Compressed sensing for unit selection based speech synthesis. EUSIPCO 2015: 1731-1735 - [c6]Pulkit Sharma, Vinayak Abrol, Aroor Dinesh Dileep, Anil Kumar Sao:
Sparse coding based features for speech units classification. INTERSPEECH 2015: 712-715 - [c5]Pulkit Sharma, Vinayak Abrol, Anil Kumar Sao:
Supervised speech enhancement using compressed sensing. NCC 2015: 1-5 - [i1]Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao:
Making sense of randomness: an approach for fast recovery of compressively sensed signals. CoRR abs/1507.07077 (2015) - 2014
- [c4]Vinayak Abrol, Pulkit Sharma:
Radio model for sector coded transmission protocol. WOCN 2014: 1-6 - 2013
- [c3]Vinayak Abrol, Pulkit Sharma, Anil Kumar Sao:
Speech enhancement using compressed sensing. INTERSPEECH 2013: 3274-3278 - [c2]Pulkit Sharma, Vinayak Abrol:
Optimized cluster head selection & rotation for cooperative spectrum sensing in Cognitive Radio Networks. WOCN 2013: 1-5 - [c1]Pulkit Sharma, Vinayak Abrol:
Individual vs cooperative spectrum sensing for Cognitive Radio Networks. WOCN 2013: 1-5
Coauthor Index
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last updated on 2024-12-13 19:12 CET by the dblp team
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