E-LIB Suche - Ergebnisse für: Casebeer, Jonah

1

Meta-AF Echo Cancellation for Improved Keyword Spotting:

, In: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Casebeer, Jonah ; Wu, Junkai ; Smaragdis, Paris - p. 676-680 , 2024

2

Meta-AF: Meta-Learning for Adaptive Filters:

Casebeer, Jonah ; Bryan, Nicholas J. ; Smaragdis, Paris
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 31 (2023) - p. 355-370 , 2023

Link: https://doi.org/10.1109/..

3

Meta-Learning for Adaptive Filters with higher-order Freque..:

, In: 2022 International Workshop on Acoustic Signal Enhancement (IWAENC),

Wu, Junkai ; Casebeer, Jonah ; Bryan, Nicholas J.. - p. 1-5 , 2022

Link: https://doi.org/10.1109/..

4

Efficient Trainable Front-Ends for Neural Speech Enhancemen:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Casebeer, Jonah ; Isik, Umut ; Venkataramani, Shrikant. - p. 6639-6643 , 2020

Link: https://doi.org/10.1109/..

5

Dimensional Analysis of Laughter in Female Conversational S..:

, In: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Pietrowicz, Mary ; Agurto, Carla ; Casebeer, Jonah... - p. 6600-6604 , 2019

Link: https://doi.org/10.1109/..

6

Deep Tensor Factorization for Spatially-Aware Scene Decompo..:

, In: 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA),

Casebeer, Jonah ; Colomb, Michael ; Smaragdis, Paris - p. 180-184 , 2019

Link: https://doi.org/10.1109/..

7

Multipath-enabled Private Audio with Noise:

, In: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),

Chaman, Anadi ; Liu, Yu-Jeh ; Casebeer, Jonah. - p. 685-689 , 2019

Link: https://doi.org/10.1109/..

8

Meta-AF Echo Cancellation for Improved Keyword Spotting:

Casebeer, Jonah ; Wu, Junkai ; Smaragdis, Paris
http://arxiv.org/abs/2312.10605. , 2023

Link: http://arxiv.org/abs/231..

9

Meta-Learning for Adaptive Filters with Higher-Order Freque..:

Wu, Junkai ; Casebeer, Jonah ; Bryan, Nicholas J.
http://arxiv.org/abs/2209.09955. , 2022

Link: http://arxiv.org/abs/220..

10

Meta-AF: Meta-Learning for Adaptive Filters:

Casebeer, Jonah ; Bryan, Nicholas J ; Smaragdis, Paris
http://arxiv.org/abs/2204.11942. , 2022

Link: http://arxiv.org/abs/220..

11

NICE-Beam: Neural Integrated Covariance Estimators for Time..:

Casebeer, Jonah ; Donley, Jacob ; Wong, Daniel..
http://arxiv.org/abs/2112.04613. , 2021

Link: http://arxiv.org/abs/211..

12

Separate but Together: Unsupervised Federated Learning for ..:

Tzinis, Efthymios ; Casebeer, Jonah ; Wang, Zhepei.
http://arxiv.org/abs/2105.04727. , 2021

Link: http://arxiv.org/abs/210..

13

Auto-DSP: Learning to Optimize Acoustic Echo Cancellers:

Casebeer, Jonah ; Bryan, Nicholas J ; Smaragdis, Paris
http://arxiv.org/abs/2110.04284. , 2021

Link: http://arxiv.org/abs/211..

14

Sound Event Detection with Adaptive Frequency Selection:

Wang, Zhepei ; Casebeer, Jonah ; Clemmitt, Adam..
http://arxiv.org/abs/2105.07596. , 2021

Link: http://arxiv.org/abs/210..

15

Enhancing into the codec: Noise Robust Speech Coding with V..:

Casebeer, Jonah ; Vale, Vinjai ; Isik, Umut...
http://arxiv.org/abs/2102.06610. , 2021

Link: http://arxiv.org/abs/210..