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Jonah Casebeer
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2020 – today
- 2024
- [c16]Jonah Casebeer, Junkai Wu, Paris Smaragdis:
Meta-AF Echo Cancellation for Improved Keyword Spotting. ICASSP 2024: 676-680 - [i17]Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis:
Scaling Up Adaptive Filter Optimizers. CoRR abs/2403.00977 (2024) - [i16]Zachary Novack, Ge Zhu, Jonah Casebeer, Julian J. McAuley, Taylor Berg-Kirkpatrick, Nicholas J. Bryan:
Presto! Distilling Steps and Layers for Accelerating Music Generation. CoRR abs/2410.05167 (2024) - 2023
- [j1]Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis:
Meta-AF: Meta-Learning for Adaptive Filters. IEEE ACM Trans. Audio Speech Lang. Process. 31: 355-370 (2023) - [i15]Jonah Casebeer, Junkai Wu, Paris Smaragdis:
Meta-AF Echo Cancellation for Improved Keyword Spotting. CoRR abs/2312.10605 (2023) - 2022
- [c15]Junkai Wu, Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis:
Meta-Learning for Adaptive Filters with higher-order Frequency Dependencies. IWAENC 2022: 1-5 - [i14]Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis:
Meta-AF: Meta-Learning for Adaptive Filters. CoRR abs/2204.11942 (2022) - [i13]Junkai Wu, Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis:
Meta-Learning for Adaptive Filters with Higher-Order Frequency Dependencies. CoRR abs/2209.09955 (2022) - 2021
- [c14]Jonah Casebeer, Vinjai Vale, Umut Isik, Jean-Marc Valin, Ritwik Giri, Arvindh Krishnaswamy:
Enhancing into the Codec: Noise Robust Speech Coding with Vector-Quantized Autoencoders. ICASSP 2021: 711-715 - [c13]Jonah Casebeer, Jamshed Kaikaus, Paris Smaragdis:
Communication-Cost Aware Microphone Selection for Neural Speech Enhancement with Ad-Hoc Microphone Arrays. ICASSP 2021: 8438-8442 - [c12]Zhepei Wang, Jonah Casebeer, Adam Clemmitt, Efthymios Tzinis, Paris Smaragdis:
Sound Event Detection with Adaptive Frequency Selection. WASPAA 2021: 41-45 - [c11]Efthymios Tzinis, Jonah Casebeer, Zhepei Wang, Paris Smaragdis:
Separate But Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data. WASPAA 2021: 46-50 - [c10]Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis:
Auto-DSP: Learning to Optimize Acoustic Echo Cancellers. WASPAA 2021: 291-295 - [i12]Jonah Casebeer, Vinjai Vale, Umut Isik, Jean-Marc Valin, Ritwik Giri, Arvindh Krishnaswamy:
Enhancing into the codec: Noise Robust Speech Coding with Vector-Quantized Autoencoders. CoRR abs/2102.06610 (2021) - [i11]Efthymios Tzinis, Jonah Casebeer, Zhepei Wang, Paris Smaragdis:
Separate but Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data. CoRR abs/2105.04727 (2021) - [i10]Zhepei Wang, Jonah Casebeer, Adam Clemmitt, Efthymios Tzinis, Paris Smaragdis:
Sound Event Detection with Adaptive Frequency Selection. CoRR abs/2105.07596 (2021) - [i9]Jonah Casebeer, Nicholas J. Bryan, Paris Smaragdis:
Auto-DSP: Learning to Optimize Acoustic Echo Cancellers. CoRR abs/2110.04284 (2021) - [i8]Jonah Casebeer, Jacob Donley, Daniel Wong, Buye Xu, Anurag Kumar:
NICE-Beam: Neural Integrated Covariance Estimators for Time-Varying Beamformers. CoRR abs/2112.04613 (2021) - 2020
- [c9]Jonah Casebeer, Umut Isik, Shrikant Venkataramani, Arvindh Krishnaswamy:
Efficient Trainable Front-Ends for Neural Speech Enhancement. ICASSP 2020: 6639-6643 - [i7]Jonah Casebeer, Umut Isik, Shrikant Venkataramani, Arvindh Krishnaswamy:
Efficient Trainable Front-Ends for Neural Speech Enhancement. CoRR abs/2002.09286 (2020) - [i6]Jonah Casebeer, Jamshed Kaikaus, Paris Smaragdis:
Communication-Cost Aware Microphone Selection For Neural Speech Enhancement with Ad-hoc Microphone Arrays. CoRR abs/2011.07348 (2020)
2010 – 2019
- 2019
- [c8]Anadi Chaman, Yu-Jeh Liu, Jonah Casebeer, Ivan Dokmanic:
Multipath-enabled Private Audio with Noise. ICASSP 2019: 685-689 - [c7]Jonah Casebeer, Zhepei Wang, Paris Smaragdis:
Multi-view Networks for Multi-channel Audio Classification. ICASSP 2019: 940-944 - [c6]Mary Pietrowicz, Carla Agurto, Jonah Casebeer, Mark Hasegawa-Johnson, Karrie Karahalios, Guillermo A. Cecchi:
Dimensional Analysis of Laughter in Female Conversational Speech. ICASSP 2019: 6600-6604 - [c5]Jonah Casebeer, Michael Colomb, Paris Smaragdis:
Deep Tensor Factorization for Spatially-Aware Scene Decomposition. WASPAA 2019: 180-184 - [i5]Jonah Casebeer, Michael Colomb, Paris Smaragdis:
Deep Tensor Factorization for Spatially-Aware Scene Decomposition. CoRR abs/1905.01391 (2019) - 2018
- [c4]Shrikant Venkataramani, Jonah Casebeer, Paris Smaragdis:
End-To-End Source Separation With Adaptive Front-Ends. ACSSC 2018: 684-688 - [c3]Jonah Casebeer, Hillol Sarker, Murtaza Dhuliawala, Nicholas Fay, Mary Pietrowicz, Amar Das:
Verbal Protest Recognition in Children with Autism. ICASSP 2018: 301-305 - [c2]Yu-Jeh Liu, Jonah Casebeer, Ivan Dokmanic:
Cocktails, but no Party: Multipath-Enabled Private Audio. IWAENC 2018: 186-190 - [c1]Jonah Casebeer, Brian Luc, Paris Smaragdis:
Multi-View Networks for Denoising of Arbitrary Numbers of Channels. IWAENC 2018: 496-500 - [i4]Jonah Casebeer, Brian Luc, Paris Smaragdis:
Multi-View Networks for Denoising of Arbitrary Numbers of Channels. CoRR abs/1806.05296 (2018) - [i3]Yu-Jeh Liu, Jonah Casebeer, Ivan Dokmanic:
Cocktails, but no party: multipath-enabled private audio. CoRR abs/1809.05862 (2018) - [i2]Jonah Casebeer, Zhepei Wang, Paris Smaragdis:
Multi-View Networks For Multi-Channel Audio Classification. CoRR abs/1811.01251 (2018) - [i1]Anadi Chaman, Yu-Jeh Liu, Jonah Casebeer, Ivan Dokmanic:
Multipath-enabled private audio with noise. CoRR abs/1811.07065 (2018)
Coauthor Index
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last updated on 2024-11-19 21:48 CET by the dblp team
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