Vikrant Singh Tomar

According to our database, Vikrant Singh Tomar authored at least 16 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Expediting discovery in Neural Architecture Search by Combining Learning with Planning.

Farzaneh S. Fard, Vikrant Singh Tomar

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Deep Convolutional Neural Network-Based Inverse Filtering Approach for Speech De-Reverberation.

Hanwook Chung, Vikrant Singh Tomar, Benoît Champagne

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

A Low Latency ASR-Free End to End Spoken Language Understanding System.

Mohamed Mhiri, Samuel Myer, Vikrant Singh Tomar

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Nasil: Neural Architecture Search with Imitation Learning.

Farzaneh S. Fard, Arash Rad, Vikrant Singh Tomar

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Speech Model Pre-Training for End-to-End Spoken Language Understanding.

Loren Lugosch, Mirco Ravanelli, Patrick Ignoto, Vikrant Singh Tomar, Yoshua Bengio

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018

DONUT: CTC-based Query-by-Example Keyword Spotting.

Loren Lugosch, Samuel Myer, Vikrant Singh Tomar

CoRR, 2018

Efficient Keyword Spotting Using Time Delay Neural Networks.

Samuel Myer, Vikrant Singh Tomar

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

Tone Recognition Using Lifters and CTC.

Loren Lugosch, Vikrant Singh Tomar

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2016

Graph based manifold regularized deep neural networks for automatic speech recognition.

Vikrant Singh Tomar, Richard C. Rose

CoRR, 2016

2014

A Family of Discriminative Manifold Learning Algorithms and Their Application to Speech Recognition.

Vikrant Singh Tomar, Richard C. Rose

IEEE ACM Trans. Audio Speech Lang. Process., 2014

Manifold regularized deep neural networks.

Vikrant Singh Tomar, Richard C. Rose

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

2013

Locality sensitive hashing for fast computation of correlational manifold learning based feature space transformations.

Vikrant Singh Tomar, Richard C. Rose

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Noise aware manifold learning for robust speech recognition.

Vikrant Singh Tomar, Richard C. Rose

Proceedings of the IEEE International Conference on Acoustics, 2013

Efficient manifold learning for speech recognition using locality sensitive hashing.

Vikrant Singh Tomar, Richard C. Rose

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Application of a locality preserving discriminant analysis approach to ASR.

Vikrant Singh Tomar, Richard C. Rose

Proceedings of the 11th International Conference on Information Science, 2012

A Correlational Discriminant Approach to Feature Extraction for Robust Speech Recognition.

Vikrant Singh Tomar, Richard C. Rose

Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012