Papez: Resource-Efficient Speech Separation with Auditory Working Memory-Reference-Cited by-同舟云学术

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Papez: Resource-Efficient Speech Separation with Auditory Working Memory

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Oh Hyunseok¹,Yi Juheon¹,Lee Youngki¹

Affiliation:

1. Seoul National University

Funder

National Research Foundation of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095136.pdf?arnumber=10095136

Reference32 articles.

1. Tiny-Sepformer: A Tiny Time-Domain Transformer Network For Speech Separation

2. Universal transformers;dehghani;ICLRE,2018

3. A Survey on Single Channel Speech Separation

4. Speech separation using an asynchronous fully recurrent convolutional neural network;hu;NeurIPS,2021

5. Permutation invariant training of deep models for speaker-independent multi-talker speech separation

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SPGM: Prioritizing Local Features for Enhanced Speech Separation Performance;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. MossFormer2: Combining Transformer and RNN-Free Recurrent Network for Enhanced Time-Domain Monaural Speech Separation;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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