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Apoorv Vyas
Apoorv Vyas
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Title
Cited by
Cited by
Year
Transformers are rnns: Fast autoregressive transformers with linear attention
A Katharopoulos, A Vyas, N Pappas, F Fleuret
International conference on machine learning, 5156-5165, 2020
10332020
Out-of-distribution detection using an ensemble of self supervised leave-out classifiers
A Vyas, N Jammalamadaka, X Zhu, D Das, B Kaul, TL Willke
European Conference on Computer Vision, 2018
2552018
Fast transformers with clustered attention
A Vyas, A Katharopoulos, F Fleuret
Advances in Neural Information Processing Systems 33, 21665-21674, 2020
1362020
Scaling speech technology to 1,000+ languages
V Pratap, A Tjandra, B Shi, P Tomasello, A Babu, S Kundu, A Elkahky, ...
arXiv preprint arXiv:2305.13516, 2023
782023
Voicebox: Text-guided multilingual universal speech generation at scale
M Le, A Vyas, B Shi, B Karrer, L Sari, R Moritz, M Williamson, V Manohar, ...
Advances in neural information processing systems 36, 2024
482024
Analyzing uncertainties in speech recognition using dropout
A Vyas, P Dighe, S Tong, H Bourlard
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
262019
Power efficient compressive sensing for continuous monitoring of ECG and PPG in a wearable system
V Natarajan, A Vyas
2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), 336-341, 2016
242016
Pkwrap: a pytorch package for lf-mmi training of acoustic models
S Madikeri, S Tong, J Zuluaga-Gomez, A Vyas, P Motlicek, H Bourlard
arXiv preprint arXiv:2010.03466, 2020
172020
Commercial block detection in broadcast news videos
A Vyas, R Kannao, V Bhargava, P Guha
Proceedings of the 2014 Indian Conference on Computer Vision Graphics and …, 2014
162014
Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model
A Vyas, S Madikeri, H Bourlard
Interspeech 2021, 2861--2865, 2021
142021
On-demand compute reduction with stochastic wav2vec 2.0
A Vyas, WN Hsu, M Auli, A Baevski
arXiv preprint arXiv:2204.11934, 2022
122022
Lattice-free MMI adaptation of self-supervised pretrained acoustic models
A Vyas, S Madikeri, H Bourlard
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
102021
Compressive sensing for power efficient data aggregation in a wireless sensor network
V Natarajan, A Vyas, K Ranganathan, J Joy, H Singh
US Patent 10,149,131, 2018
102018
Unbiased Semi-Supervised LF-MMI Training Using Dropout.
S Tong, A Vyas, PN Garner, H Bourlard
INTERSPEECH, 1576-1580, 2019
72019
Low power supervised semantic-preserving shallow hashing
A Vyas, D Mehta, S Varadarajan
US Patent 10,747,810, 2020
42020
Audiobox: Unified audio generation with natural language prompts
A Vyas, B Shi, M Le, A Tjandra, YC Wu, B Guo, J Zhang, X Zhang, ...
arXiv preprint arXiv:2312.15821, 2023
22023
Generative pre-training for speech with flow matching
AH Liu, M Le, A Vyas, B Shi, A Tjandra, WN Hsu
arXiv preprint arXiv:2310.16338, 2023
22023
Type of publication: Conference paper Citation: Vyas_INTERSPEECH_2022 Booktitle: Proceedings of Interspeech
A Vyas
2022
Efficient Transformer-Based Speech Recognition
A Vyas
EPFL, 2022
2022
Optical heart rate sensor with reduced power
AS Baxi, A Vyas, S Phatak
US Patent 10,932,677, 2021
2021
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