Speech enhancement using compressed sensing. - Vinayak Abrol; Pulkit Sharma; Anil Kumar Sao (INTERSPEECH, 2013)

Optimized cluster head selection & rotation for cooperative spectrum sensing in Cognitive Radio Networks. - Pulkit Sharma; Vinayak Abrol (WOCN, 2013)

Individual vs cooperative spectrum sensing for Cognitive Radio Networks. - Pulkit Sharma; Vinayak Abrol (WOCN, 2013)

Radio model for sector coded transmission protocol. - Vinayak Abrol; Pulkit Sharma (WOCN, 2014)

Compressed sensing for unit selection based speech synthesis. - Pulkit Sharma; Vinayak Abrol; Anil Kumar Sao (EUSIPCO, 2015)

Supervised speech enhancement using compressed sensing. - Pulkit Sharma; Vinayak Abrol; Anil Kumar Sao (NCC, 2015)

Making sense of randomness: an approach for fast recovery of compressively sensed signals. - Vinayak Abrol; Pulkit Sharma; Anil Kumar Sao (CoRR, 2015)

Voiced/nonvoiced detection in compressively sensed speech signals. - Vinayak Abrol; Pulkit Sharma; Anil Kumar Sao (Speech Commun., 2015)

Making sense of randomness: Fast signal recovery from compressive samples. - Vinayak Abrol; Pulkit Sharma; Anil Kumar Sao (EUSIPCO, 2016)

Speech emotion recognition using kernel sparse representation based classifier. - Pulkit Sharma; Vinayak Abrol; Abhijeet Sachdev; Aroor Dinesh Dileep (EUSIPCO, 2016)

Fast and robust FMRI unmixing using hierarchical dictionary learning. - Vinayak Abrol; Pulkit Sharma; Shahrooz Faghih Roohi; Anil Kumar Sao; Ashraf A. Kassim (ICIP, 2016)

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

Greedy dictionary learning for kernel sparse representation based classifier. - Vinayak Abrol; Pulkit Sharma; Anil Kumar Sao (Pattern Recognit. Lett., 2016)

Greedy double sparse dictionary learning for sparse representation of speech signals. - Vinayak Abrol; Pulkit Sharma; Anil Kumar Sao (Speech Commun., 2016)

Archetypal analysis based sparse convex sequence kernel for bird activity detection. - Vinayak Abrol; Pulkit Sharma; Anshul Thakur; Padmanabhan Rajan; Aroor Dinesh Dileep; Anil Kumar Sao (EUSIPCO, 2017)

Class specific GMM based sparse feature for speech units classification. - Pulkit Sharma; Vinayak Abrol; Aroor Dinesh Dileep; Anil Kumar Sao (EUSIPCO, 2017)

Fast exemplar selection algorithm for matrix approximation and representation: A variant oASIS algorithm. - Vinayak Abrol; Pulkit Sharma; Anil Kumar Sao (ICASSP, 2017)

Rényi entropy based mutual information for semi-supervised bird vocalization segmentation. - Anshul Thakur; Vinayak Abrol; Pulkit Sharma; Padmanabhan Rajan (MLSP, 2017)

Deep-Sparse-Representation-Based Features for Speech Recognition. - Pulkit Sharma; Vinayak Abrol; Anil Kumar Sao (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Compressed Convex Spectral Embedding for Bird Species Classification. - Anshul Thakur; Vinayak Abrol; Pulkit Sharma; Padmanabhan Rajan (ICASSP, 2018)

ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM. - Pulkit Sharma; Vinayak Abrol; Anshul Thakur (INTERSPEECH, 2018)

Deep Convex Representations: Feature Representations for Bioacoustics Classification. - Anshul Thakur; Vinayak Abrol; Pulkit Sharma; Padmanabhan Rajan (INTERSPEECH, 2018)

The model order limit: Deep sparse factorization for resting brain. - Debadatta Dash; Vinayak Abrol; Anil Kumar Sao; Bharat B. Biswal (ISBI, 2018)

Spatial sparsification and low rank projection for fast analysis of multi-subject resting state fMRI data. - Debadatta Dash; Vinayak Abrol; Anil Kumar Sao; Bharat B. Biswal (ISBI, 2018)

Sparse coding based features for speech units classification. - Pulkit Sharma; Vinayak Abrol; Aroor Dinesh Dileep; Anil Kumar Sao (Comput. Speech Lang., 2018)

Reducing footprint of unit selection based text-to-speech system using compressed sensing and sparse representation. - Pulkit Sharma; Vinayak Abrol; Nivedita; Anil Kumar Sao (Comput. Speech Lang., 2018)

CONV-codes: Audio Hashing for Bird Species Classification. - Anshul Thakur; Pulkit Sharma; Vinayak Abrol; Padmanabhan Rajan (ICASSP, 2019)

Understanding and Visualizing Raw Waveform-Based CNNs. - Hannah Muckenhirn; Vinayak Abrol; Mathew Magimai-Doss; Sébastien Marcel (INTERSPEECH, 2019)

A Geometric Approach to Archetypal Analysis via Sparse Projections. - Vinayak Abrol; Pulkit Sharma (ICML, 2020)

A Model-Based Derivative-Free Approach to Black-Box Adversarial Examples: BOBYQA. - Giuseppe Ughi; Vinayak Abrol; Jared Tanner (CoRR, 2020)

An Empirical Study of Derivative-Free-Optimization Algorithms for Targeted Black-Box Attacks in Deep Neural Networks. - Giuseppe Ughi; Vinayak Abrol; Jared Tanner (CoRR, 2020)

Learning Hierarchy Aware Embedding From Raw Audio for Acoustic Scene Classification. - Vinayak Abrol; Pulkit Sharma (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Classification of Infant Behavioural Traits using Acoustic Cry: An Empirical Study. - Sahil Jindal; Karan Nathwani; Vinayak Abrol (ISPA, 2021)

Transfer Learning for Speech Intelligibility Improvement in Noisy Environments. - Ritujoy Biswas; Karan Nathwani; Vinayak Abrol (Interspeech, 2021)

Activation function design for deep networks: linearity and effective initialisation. - Michael Murray; Vinayak Abrol; Jared Tanner (CoRR, 2021)

Improving Generative Modelling in VAEs Using Multimodal Prior. - Vinayak Abrol; Pulkit Sharma; Arijit Patra (IEEE Trans. Multim., 2021)

Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training. - Estelle M. Massart; Vinayak Abrol (AAAI, 2022)

Time-Frequency and Geometric Analysis of Task-Dependent Learning in Raw Waveform Based Acoustic Models. - Devansh Gupta; Vinayak Abrol (ICASSP, 2022)

Does Geometric Structure in Convolutional Filter Space Provide Filter Redundancy Information? - Anshul Thakur; Vinayak Abrol; Pulkit Sharma (NeurReps, 2022)

Data Pre-Processing Using Neural Processes for Modeling Personalized Vital-Sign Time-Series Data. - Pulkit Sharma; Farah E. Shamout; Vinayak Abrol; David A. Clifton (IEEE J. Biomed. Health Informatics, 2022)

Coordinate descent on the Stiefel manifold for deep neural network training. - Estelle M. Massart; Vinayak Abrol (ESANN, 2023)

Near-end Intelligibility Improvement Through Voice Transformation in Transfer Learning Framework. - Ritujoy Biswas; Karan Nathwani; Vinayak Abrol (EUSIPCO, 2023)

Investigating Acoustic Cues for Multilingual Abuse Detection. - Yash Thakran; Vinayak Abrol (INTERSPEECH, 2023)

Multi-Layer Acoustic & Linguistic Feature Fusion for ComParE-23 Emotion and Requests Challenge. - Siddhant R. Viksit; Vinayak Abrol (ACM Multimedia, 2023)

Pitfalls in Measuring Neural Transferability. - Suryaka Suresh; Vinayak Abrol; Anshul Thakur (NeurReps, 2023)

Towards on-Device Keyword Spotting using Low-Footprint Quaternion Neural Models. - Aryan Chaudhary; Vinayak Abrol (WASPAA, 2023)

Data Encoding For Healthcare Data Democratisation and Information Leakage Prevention. - Anshul Thakur; Tingting Zhu 001; Vinayak Abrol; Jacob Armstrong; Yujiang Wang 001; David A. Clifton (CoRR, 2023)

Sampling Rate Adaptive Speaker Verification from Raw Waveforms. - Vinayak Abrol; Anshul Thakur; Akshat Gupta; Xiaomo Liu; Sameena Shah (ICPR (28), 2024)

QGAN: Low Footprint Quaternion Neural Vocoder for Speech Synthesis. - Aryan Chaudhary; Vinayak Abrol (INTERSPEECH, 2024)

Efficient CNNs with Quaternion Transformations and Pruning for Audio Tagging. - Aryan Chaudhary; Arshdeep Singh; Vinayak Abrol; Mark D. Plumbley (INTERSPEECH, 2024)

DBCIE: A Database for Brain-Computer Interface Using Electrophysiological Signal. - Rantu Buragohain; Karan Nathwani; Suresh R. Devasahayam; Vinayak Abrol (SPCOM, 2024)

On characterizing the evolution of embedding space of neural networks using algebraic topology. - Suryaka Suresh; Bishshoy Das; Vinayak Abrol; Sumantra Dutta Roy (Pattern Recognit. Lett., 2024)

Statistically Guided Near-End Speech Intelligibility Improvement Through Voice Transformation and Transfer Learning. - Ritujoy Biswas; Karan Nathwani; Vinayak Abrol (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

On the Quantization of Neural Models for Speaker Verification. - Vishal Kumar; Vinayak Abrol; Mathew Magimai-Doss (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Incremental Trainable Parameter Selection in Deep Neural Networks. - Anshul Thakur; Vinayak Abrol; Pulkit Sharma; Tingting Zhu 001; David A. Clifton (IEEE Trans. Neural Networks Learn. Syst., 2024)