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Apoorv Vyas
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2020 – today
- 2024
- [j1]Vineel Pratap, Andros Tjandra, Bowen Shi, Paden Tomasello, Arun Babu, Sayani Kundu, Ali Elkahky, Zhaoheng Ni, Apoorv Vyas, Maryam Fazel-Zarandi, Alexei Baevski, Yossi Adi, Xiaohui Zhang, Wei-Ning Hsu, Alexis Conneau, Michael Auli:
Scaling Speech Technology to 1, 000+ Languages. J. Mach. Learn. Res. 25: 97:1-97:52 (2024) - [c13]Alexander H. Liu, Matthew Le, Apoorv Vyas, Bowen Shi, Andros Tjandra, Wei-Ning Hsu:
Generative Pre-training for Speech with Flow Matching. ICLR 2024 - [c12]K. R. Prajwal, Bowen Shi, Matthew Le, Apoorv Vyas, Andros Tjandra, Mahi Luthra, Baishan Guo, Huiyu Wang, Triantafyllos Afouras, David Kant, Wei-Ning Hsu:
MusicFlow: Cascaded Flow Matching for Text Guided Music Generation. ICML 2024 - [i14]Chung-Ming Chien, Andros Tjandra, Apoorv Vyas, Matt Le, Bowen Shi, Wei-Ning Hsu:
Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning. CoRR abs/2406.06251 (2024) - [i13]Adam Polyak, Amit Zohar, Andrew Brown, Andros Tjandra, Animesh Sinha, Ann Lee, Apoorv Vyas, Bowen Shi, Chih-Yao Ma, Ching-Yao Chuang, David Yan, Dhruv Choudhary, Dingkang Wang, Geet Sethi, Guan Pang, Haoyu Ma, Ishan Misra, Ji Hou, Jialiang Wang, Kiran Jagadeesh, Kunpeng Li, Luxin Zhang, Mannat Singh, Mary Williamson, Matt Le, Matthew Yu, Mitesh Kumar Singh, Peizhao Zhang, Peter Vajda, Quentin Duval, Rohit Girdhar, Roshan Sumbaly, Sai Saketh Rambhatla, Sam S. Tsai, Samaneh Azadi, Samyak Datta, Sanyuan Chen, Sean Bell, Sharadh Ramaswamy, Shelly Sheynin, Siddharth Bhattacharya, Simran Motwani, Tao Xu, Tianhe Li, Tingbo Hou, Wei-Ning Hsu, Xi Yin, Xiaoliang Dai, Yaniv Taigman, Yaqiao Luo, Yen-Cheng Liu, Yi-Chiao Wu, Yue Zhao, Yuval Kirstain, Zecheng He, Zijian He, Albert Pumarola, Ali K. Thabet, Artsiom Sanakoyeu, Arun Mallya, Baishan Guo, Boris Araya, Breena Kerr, Carleigh Wood, Ce Liu, Cen Peng, Dmitry Vengertsev, Edgar Schönfeld, Elliot Blanchard, Felix Juefei-Xu, Fraylie Nord, Jeff Liang, John Hoffman, Jonas Kohler, Kaolin Fire, Karthik Sivakumar, Lawrence Chen, Licheng Yu, Luya Gao, Markos Georgopoulos, Rashel Moritz, Sara K. Sampson, Shikai Li, Simone Parmeggiani, Steve Fine, Tara Fowler, Vladan Petrovic, Yuming Du:
Movie Gen: A Cast of Media Foundation Models. CoRR abs/2410.13720 (2024) - [i12]K. R. Prajwal, Bowen Shi, Matthew Le, Apoorv Vyas, Andros Tjandra, Mahi Luthra, Baishan Guo, Huiyu Wang, Triantafyllos Afouras, David Kant, Wei-Ning Hsu:
MusicFlow: Cascaded Flow Matching for Text Guided Music Generation. CoRR abs/2410.20478 (2024) - 2023
- [c11]Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, Wei-Ning Hsu:
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale. NeurIPS 2023 - [i11]Vineel Pratap, Andros Tjandra, Bowen Shi, Paden Tomasello, Arun Babu, Sayani Kundu, Ali Elkahky, Zhaoheng Ni, Apoorv Vyas, Maryam Fazel-Zarandi, Alexei Baevski, Yossi Adi, Xiaohui Zhang, Wei-Ning Hsu, Alexis Conneau, Michael Auli:
Scaling Speech Technology to 1, 000+ Languages. CoRR abs/2305.13516 (2023) - [i10]Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, Wei-Ning Hsu:
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale. CoRR abs/2306.15687 (2023) - [i9]Alexander H. Liu, Matt Le, Apoorv Vyas, Bowen Shi, Andros Tjandra, Wei-Ning Hsu:
Generative Pre-training for Speech with Flow Matching. CoRR abs/2310.16338 (2023) - [i8]Apoorv Vyas, Bowen Shi, Matthew Le, Andros Tjandra, Yi-Chiao Wu, Baishan Guo, Jiemin Zhang, Xinyue Zhang, Robert Adkins, William Ngan, Jeff Wang, Ivan Cruz, Bapi Akula, Akinniyi Akinyemi, Brian Ellis, Rashel Moritz, Yael Yungster, Alice Rakotoarison, Liang Tan, Chris Summers, Carleigh Wood, Joshua Lane, Mary Williamson, Wei-Ning Hsu:
Audiobox: Unified Audio Generation with Natural Language Prompts. CoRR abs/2312.15821 (2023) - 2022
- [c10]Apoorv Vyas, Wei-Ning Hsu, Michael Auli, Alexei Baevski:
On-demand compute reduction with stochastic wav2vec 2.0. INTERSPEECH 2022: 3048-3052 - [i7]Apoorv Vyas, Wei-Ning Hsu, Michael Auli, Alexei Baevski:
On-demand compute reduction with stochastic wav2vec 2.0. CoRR abs/2204.11934 (2022) - 2021
- [c9]Apoorv Vyas, Srikanth R. Madikeri, Hervé Bourlard:
Lattice-Free Mmi Adaptation of Self-Supervised Pretrained Acoustic Models. ICASSP 2021: 6219-6223 - [c8]Apoorv Vyas, Srikanth R. Madikeri, Hervé Bourlard:
Comparing CTC and LFMMI for Out-of-Domain Adaptation of wav2vec 2.0 Acoustic Model. Interspeech 2021: 2861-2865 - [i6]Apoorv Vyas, Srikanth R. Madikeri, Hervé Bourlard:
Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model. CoRR abs/2104.02558 (2021) - 2020
- [c7]Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret:
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention. ICML 2020: 5156-5165 - [c6]Apoorv Vyas, Angelos Katharopoulos, François Fleuret:
Fast Transformers with Clustered Attention. NeurIPS 2020 - [i5]Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret:
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention. CoRR abs/2006.16236 (2020) - [i4]Apoorv Vyas, Angelos Katharopoulos, François Fleuret:
Fast Transformers with Clustered Attention. CoRR abs/2007.04825 (2020) - [i3]Srikanth R. Madikeri, Sibo Tong, Juan Zuluaga-Gomez
, Apoorv Vyas, Petr Motlícek, Hervé Bourlard:
Pkwrap: a PyTorch Package for LF-MMI Training of Acoustic Models. CoRR abs/2010.03466 (2020) - [i2]Apoorv Vyas, Srikanth R. Madikeri, Hervé Bourlard:
Lattice-Free MMI Adaptation Of Self-Supervised Pretrained Acoustic Models. CoRR abs/2012.14252 (2020)
2010 – 2019
- 2019
- [c5]Apoorv Vyas, Pranay Dighe, Sibo Tong, Hervé Bourlard:
Analyzing Uncertainties in Speech Recognition Using Dropout. ICASSP 2019: 6730-6734 - [c4]Sibo Tong, Apoorv Vyas, Philip N. Garner
Unbiased Semi-Supervised LF-MMI Training Using Dropout. INTERSPEECH 2019: 1576-1580 - 2018
- [c3]Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu, Dipankar Das, Bharat Kaul, Theodore L. Willke:
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-Out Classifiers. ECCV (8) 2018: 560-574 - [i1]Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu, Dipankar Das, Bharat Kaul, Theodore L. Willke:
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers. CoRR abs/1809.03576 (2018) - 2016
- [c2]Venkat Natarajan, Apoorv Vyas:
Power efficient compressive sensing for continuous monitoring of ECG and PPG in a wearable system. WF-IoT 2016: 336-341 - 2014
- [c1]Apoorv Vyas, Raghvendra Kannao
Commercial Block Detection in Broadcast News Videos. ICVGIP 2014: 63:1-63:7
Coauthor Index
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