Apoorv Vyas

According to our database, Apoorv Vyas authored at least 18 papers between 2014 and 2024.

Collaborative distances:

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

2024

Scaling Speech Technology to 1, 000+ Languages.

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

J. Mach. Learn. Res., 2024

Movie Gen: A Cast of Media Foundation Models.

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

CoRR, 2024

Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning.

Chung-Ming Chien, Andros Tjandra, Apoorv Vyas, Matt Le, Bowen Shi, Wei-Ning Hsu

CoRR, 2024

MusicFlow: Cascaded Flow Matching for Text Guided Music Generation.

K. R. Prajwal, Bowen Shi, Matthew Le, Apoorv Vyas, Andros Tjandra, Mahi Luthra, Baishan Guo, Huiyu Wang, Triantafyllos Afouras, David Kant, Wei-Ning Hsu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Generative Pre-training for Speech with Flow Matching.

Alexander H. Liu, Matthew Le, Apoorv Vyas, Bowen Shi, Andros Tjandra, Wei-Ning Hsu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Audiobox: Unified Audio Generation with Natural Language Prompts.

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

CoRR, 2023

Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale.

Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, Wei-Ning Hsu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

On-demand compute reduction with stochastic wav2vec 2.0.

Apoorv Vyas, Wei-Ning Hsu, Michael Auli, Alexei Baevski

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Comparing CTC and LFMMI for Out-of-Domain Adaptation of wav2vec 2.0 Acoustic Model.

Apoorv Vyas, Srikanth R. Madikeri, Hervé Bourlard

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Lattice-Free Mmi Adaptation of Self-Supervised Pretrained Acoustic Models.

Apoorv Vyas, Srikanth R. Madikeri, Hervé Bourlard

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Pkwrap: a PyTorch Package for LF-MMI Training of Acoustic Models.

Srikanth R. Madikeri, Sibo Tong, Juan Zuluaga-Gomez, Apoorv Vyas, Petr Motlícek, Hervé Bourlard

CoRR, 2020

Fast Transformers with Clustered Attention.

Apoorv Vyas, Angelos Katharopoulos, François Fleuret

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention.

Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Unbiased Semi-Supervised LF-MMI Training Using Dropout.

Sibo Tong, Apoorv Vyas, Philip N. Garner, Hervé Bourlard

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

Analyzing Uncertainties in Speech Recognition Using Dropout.

Apoorv Vyas, Pranay Dighe, Sibo Tong, Hervé Bourlard

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-Out Classifiers.

Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu, Dipankar Das, Bharat Kaul, Theodore L. Willke

Proceedings of the Computer Vision - ECCV 2018, 2018

2016

Power efficient compressive sensing for continuous monitoring of ECG and PPG in a wearable system.

Venkat Natarajan, Apoorv Vyas

Proceedings of the 3rd IEEE World Forum on Internet of Things, 2016

2014

Commercial Block Detection in Broadcast News Videos.

Apoorv Vyas, Raghvendra Kannao, Vineet Bhargava, Prithwijit Guha

Proceedings of the 2014 Indian Conference on Computer Vision, 2014