Apoorv Vyas

33 papers A* 5A 4C 1Misc 2Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
SAM Audio Judge: A Unified Multimodal Framework for Perceptual Evaluation of Audio Separation.
CoRR
Helin Wang, Bowen Shi, Andros Tjandra, John Hoffman, Yi-Chiao Wu, Apoorv Vyas, Najim Dehak, Ann Lee, Wei-Ning Hsu
2025 C conf
Meta Audiobox Aesthetics: Unified Automatic Assessment for Speech, Music and Sound.
ASRU
Andros Tjandra, Yi-Chiao Wu, Baishan Guo, John Hoffman, Brian Ellis, Apoorv Vyas, Bowen Shi, Sanyuan Chen, Matt Le, Nick Zacharov, Carleigh Wood, Ann Lee, Wei-Ning Hsu
2025 J jnl
Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound.
CoRR
Andros Tjandra, Yi-Chiao Wu, Baishan Guo, John Hoffman, Brian Ellis, Apoorv Vyas, Bowen Shi, Sanyuan Chen, Matt Le, Nick Zacharov, Carleigh Wood, Ann Lee, Wei-Ning Hsu
2025 J jnl
Pushing the Frontier of Audiovisual Perception with Large-Scale Multimodal Correspondence Learning.
CoRR
Apoorv Vyas, Heng-Jui Chang, Cheng-Fu Yang, Po-Yao Huang, Luya Gao, Julius Richter, Sanyuan Chen, Matt Le, Piotr Dollár, Christoph Feichtenhofer, Ann Lee, Wei-Ning Hsu
2025 J jnl
SAM Audio: Segment Anything in Audio.
CoRR
Bowen Shi, Andros Tjandra, John Hoffman, Helin Wang, Yi-Chiao Wu, Luya Gao, Julius Richter, Matt Le, Apoorv Vyas, Sanyuan Chen, Christoph Feichtenhofer, Piotr Dollár, Wei-Ning Hsu, Ann Lee
2024 A* conf
Generative Pre-training for Speech with Flow Matching.
ICLR
Alexander H. Liu, Matthew Le, Apoorv Vyas, Bowen Shi, Andros Tjandra, Wei-Ning Hsu
2024 A conf
Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning.
INTERSPEECH
Chung-Ming Chien, Andros Tjandra, Apoorv Vyas, Matt Le, Bowen Shi, Wei-Ning Hsu
2024 J jnl
Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning.
CoRR
Chung-Ming Chien, Andros Tjandra, Apoorv Vyas, Matt Le, Bowen Shi, Wei-Ning Hsu
2024 A* conf
MusicFlow: Cascaded Flow Matching for Text Guided Music Generation.
ICML
K. R. Prajwal, Bowen Shi, Matthew Le, Apoorv Vyas, Andros Tjandra, Mahi Luthra, Baishan Guo, Huiyu Wang, Triantafyllos Afouras, David Kant, Wei-Ning Hsu
2024 J jnl
MusicFlow: Cascaded Flow Matching for Text Guided Music Generation.
CoRR
K. R. Prajwal, Bowen Shi, Matthew Le, Apoorv Vyas, Andros Tjandra, Mahi Luthra, Baishan Guo, Huiyu Wang, Triantafyllos Afouras, David Kant, Wei-Ning Hsu
2024 J jnl
Scaling Speech Technology to 1, 000+ Languages.
J. Mach. Learn. Res.
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
2023 J jnl
Audiobox: Unified Audio Generation with Natural Language Prompts.
CoRR
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
2023 J jnl
Generative Pre-training for Speech with Flow Matching.
CoRR
Alexander H. Liu, Matt Le, Apoorv Vyas, Bowen Shi, Andros Tjandra, Wei-Ning Hsu
2023 J jnl
Scaling Speech Technology to 1, 000+ Languages.
CoRR
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
2023 A* conf
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale.
NeurIPS
Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, Wei-Ning Hsu
2023 J jnl
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale.
CoRR
Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, Wei-Ning Hsu
2022 A conf
On-demand compute reduction with stochastic wav2vec 2.0.
INTERSPEECH
Apoorv Vyas, Wei-Ning Hsu, Michael Auli, Alexei Baevski
2022 J jnl
On-demand compute reduction with stochastic wav2vec 2.0.
CoRR
Apoorv Vyas, Wei-Ning Hsu, Michael Auli, Alexei Baevski
2021 A conf
Comparing CTC and LFMMI for Out-of-Domain Adaptation of wav2vec 2.0 Acoustic Model.
Interspeech
Apoorv Vyas, Srikanth R. Madikeri, Hervé Bourlard
2021 J jnl
Comparing CTC and LFMMI for out-of-domain adaptation of wav2vec 2.0 acoustic model.
CoRR
Apoorv Vyas, Srikanth R. Madikeri, Hervé Bourlard
2021 Misc conf
Lattice-Free Mmi Adaptation of Self-Supervised Pretrained Acoustic Models.
ICASSP
Apoorv Vyas, Srikanth R. Madikeri, Hervé Bourlard
2020 A* conf
Fast Transformers with Clustered Attention.
NeurIPS
Apoorv Vyas, Angelos Katharopoulos, François Fleuret
2020 J jnl
Fast Transformers with Clustered Attention.
CoRR
Apoorv Vyas, Angelos Katharopoulos, François Fleuret
2020 J jnl
Lattice-Free MMI Adaptation Of Self-Supervised Pretrained Acoustic Models.
CoRR
Apoorv Vyas, Srikanth R. Madikeri, Hervé Bourlard
2020 J jnl
Pkwrap: a PyTorch Package for LF-MMI Training of Acoustic Models.
CoRR
Srikanth R. Madikeri, Sibo Tong, Juan Zuluaga-Gomez, Apoorv Vyas, Petr Motlícek, Hervé Bourlard
2020 A* conf
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention.
ICML
Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret
2020 J jnl
Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention.
CoRR
Angelos Katharopoulos, Apoorv Vyas, Nikolaos Pappas, François Fleuret
2019 Misc conf
Analyzing Uncertainties in Speech Recognition Using Dropout.
ICASSP
Apoorv Vyas, Pranay Dighe, Sibo Tong, Hervé Bourlard
2019 A conf
Unbiased Semi-Supervised LF-MMI Training Using Dropout.
INTERSPEECH
Sibo Tong, Apoorv Vyas, Philip N. Garner, Hervé Bourlard
2018 — conf
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-Out Classifiers.
ECCV (8)
Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu, Dipankar Das, Bharat Kaul, Theodore L. Willke
2018 J jnl
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers.
CoRR
Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu, Dipankar Das, Bharat Kaul, Theodore L. Willke
2016 — conf
Power efficient compressive sensing for continuous monitoring of ECG and PPG in a wearable system.
WF-IoT
Venkat Natarajan, Apoorv Vyas
2014 — conf
Commercial Block Detection in Broadcast News Videos.
ICVGIP
Apoorv Vyas, Raghvendra Kannao, Vineet Bhargava, Prithwijit Guha