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ORCIDVikrant Singh Tomar
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2020 – today
- 2021
[c13]Farzaneh S. Fard, Vikrant Singh Tomar:
Expediting discovery in Neural Architecture Search by Combining Learning with Planning. ICASSP 2021: 8373-8377- 2020
- [c12]Farzaneh S. Fard, Arash Rad, Vikrant Singh Tomar:
Nasil: Neural Architecture Search with Imitation Learning. ICASSP 2020: 3972-3976 - [c11]Mohamed Mhiri, Samuel Myer, Vikrant Singh Tomar:
A Low Latency ASR-Free End to End Spoken Language Understanding System. INTERSPEECH 2020: 1947-1951 - [c10]Hanwook Chung, Vikrant Singh Tomar, Benoît Champagne:
Deep Convolutional Neural Network-Based Inverse Filtering Approach for Speech De-Reverberation. MLSP 2020: 1-6 - [i7]Hanwook Chung, Vikrant Singh Tomar, Benoît Champagne:
Deep Convolutional Neural Network-based Inverse Filtering Approach for Speech De-reverberation. CoRR abs/2010.07895 (2020) - [i6]Mohamed Mhiri, Samuel Myer, Vikrant Singh Tomar:
A low latency ASR-free end to end spoken language understanding system. CoRR abs/2011.04884 (2020)
2010 – 2019
- 2019
- [c9]Loren Lugosch, Mirco Ravanelli
, Patrick Ignoto, Vikrant Singh Tomar, Yoshua Bengio:
Speech Model Pre-Training for End-to-End Spoken Language Understanding. INTERSPEECH 2019: 814-818 - [i5]Loren Lugosch, Mirco Ravanelli, Patrick Ignoto, Vikrant Singh Tomar, Yoshua Bengio:
Speech Model Pre-training for End-to-End Spoken Language Understanding. CoRR abs/1904.03670 (2019) - 2018
- [c8]Samuel Myer, Vikrant Singh Tomar:
Efficient Keyword Spotting Using Time Delay Neural Networks. INTERSPEECH 2018: 1264-1268 - [c7]Loren Lugosch, Vikrant Singh Tomar:
Tone Recognition Using Lifters and CTC. INTERSPEECH 2018: 2305-2309 - [i4]Loren Lugosch, Vikrant Singh Tomar:
Tone Recognition Using Lifters and CTC. CoRR abs/1807.02465 (2018) - [i3]Samuel Myer, Vikrant Singh Tomar:
Efficient keyword spotting using time delay neural networks. CoRR abs/1807.04353 (2018) - [i2]Loren Lugosch, Samuel Myer, Vikrant Singh Tomar:
DONUT: CTC-based Query-by-Example Keyword Spotting. CoRR abs/1811.10736 (2018) - 2016
- [i1]Vikrant Singh Tomar, Richard C. Rose:
Graph based manifold regularized deep neural networks for automatic speech recognition. CoRR abs/1606.05925 (2016) - 2014
- [j1]Vikrant Singh Tomar, Richard C. Rose:
A Family of Discriminative Manifold Learning Algorithms and Their Application to Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 22(1): 161-171 (2014) - [c6]Vikrant Singh Tomar, Richard C. Rose:
Manifold regularized deep neural networks. INTERSPEECH 2014: 348-352 - 2013
- [c5]Vikrant Singh Tomar, Richard C. Rose:
Efficient manifold learning for speech recognition using locality sensitive hashing. ICASSP 2013: 6995-6999 - [c4]Vikrant Singh Tomar, Richard C. Rose:
Noise aware manifold learning for robust speech recognition. ICASSP 2013: 7087-7091 - [c3]Vikrant Singh Tomar, Richard C. Rose:
Locality sensitive hashing for fast computation of correlational manifold learning based feature space transformations. INTERSPEECH 2013: 1776-1780 - 2012
- [c2]Vikrant Singh Tomar, Richard C. Rose:
A Correlational Discriminant Approach to Feature Extraction for Robust Speech Recognition. INTERSPEECH 2012: 555-558 - [c1]Vikrant Singh Tomar, Richard C. Rose:
Application of a locality preserving discriminant analysis approach to ASR. ISSPA 2012: 103-107
Coauthor Index
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