Folgen
Apoorv Vyas
Apoorv Vyas
FAIR Labs Meta
Bestätigte E-Mail-Adresse bei meta.com - Startseite
Titel
Zitiert von
Zitiert von
Jahr
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
17672020
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
2982018
Scaling speech technology to 1,000+ languages
V Pratap, A Tjandra, B Shi, P Tomasello, A Babu, S Kundu, A Elkahky, ...
Journal of Machine Learning Research 25 (97), 1-52, 2024
2922024
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
2422024
Fast transformers with clustered attention
A Vyas, A Katharopoulos, F Fleuret
Advances in Neural Information Processing Systems 33, 21665-21674, 2020
1792020
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
862023
Movie gen: A cast of media foundation models
A Polyak, A Zohar, A Brown, A Tjandra, A Sinha, A Lee, A Vyas, B Shi, ...
arXiv preprint arXiv:2410.13720, 2024
762024
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
292019
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
252023
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
252016
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
232020
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
212021
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
172014
On-demand compute reduction with stochastic wav2vec 2.0
A Vyas, WN Hsu, M Auli, A Baevski
arXiv preprint arXiv:2204.11934, 2022
152022
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
142021
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
112018
Unbiased Semi-Supervised LF-MMI Training Using Dropout.
S Tong, A Vyas, PN Garner, H Bourlard
INTERSPEECH, 1576-1580, 2019
82019
Efficient mesh network data gathering
V Natarajan, K Ranganathan, JJ Sydir, A Vyas
US Patent 10,778,556, 2020
72020
Optical heart rate sensor with reduced power
AS Baxi, A Vyas, S Phatak
US Patent 10,932,677, 2021
52021
Musicflow: Cascaded flow matching for text guided music generation
KR Prajwal, B Shi, M Lee, A Vyas, A Tjandra, M Luthra, B Guo, H Wang, ...
arXiv preprint arXiv:2410.20478, 2024
32024
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–20