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20182021
most citedSERIL: Noise Adaptive Speech Enhancement using Regularization-based Incremental Learning

1 citations · 2 across the 2 of their papers we have counts for

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cs.SD2021★ 1 cited

SEOFP-NET: Compression and Acceleration of Deep Neural Networks for Speech Enhancement Using Sign-Exponent-Only Floating-Points

Yu-Chen Lin, Cheng Yu, Yi-Te Hsu +3

Numerous compression and acceleration strategies have achieved outstanding results on classification tasks in various fields, such as computer vision and speech signal processing.…