MetaRL-SE: a few-shot speech enhancement method based on meta-reinforcement learning

Author:

Zhou Weili,Ji Ruijie,Lai Jinxiong

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference43 articles.

1. Afouras T, Chung JS, Zisserman A (2018) The conversation: Deep audiovisual speech enhancement. Proc Interspeech 2018:3244–3248

2. Anand P, Singh AK, Srivastava S, Lall B (2019) Few Shot Speaker Recognition using Deep Neural Networks. arXiv preprint arXiv: arXiv:1904.08775

3. Baker B, Gupta O, Naik N, Raskar R (2017) Designing neural network architectures using reinforcement learning, arXiv preprint arXiv:1611.02167

4. Chen Y, Zhang Y, Yang J et al (2018) Structure-adaptive Fuzzy Estimation for Random-Valued Impulse Noise Suppression. IEEE Trans Circ Syst Video Technol 28(2):414–427

5. Chu W-H, Wang Y-CF (2018) Learning Semantics-Guided Visual Attention for Few-Shot Image Classification. IEEE International Conference on Image Processing (ICIP)

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