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GSU-DBNet: Dual-Branch Spiking Neural Network for neuromorphic speech enhancement with Gated Spiking Units (GSU). Achieves PESQ 3.04 with only 394K params (4.5-10.6% of ANN models). (arXiv: 2606.23761)
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Graph-native Python reimplementation of the Information Dynamics of Music (IDyOM) model that represents predictive memories as explicit graph objects for musical expectation modeling and network analysis.
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基于 SOC 职业分类
正在显示 SKILL.md
| name | gsu-dbnet-snn-speech-enhancement |
| description | GSU-DBNet: Dual-Branch Spiking Neural Network for neuromorphic speech enhancement with Gated Spiking Units (GSU). Achieves PESQ 3.04 with only 394K params (4.5-10.6% of ANN models). (arXiv: 2606.23761) |
| tags | ["SNN","speech-enhancement","neuromorphic","gated-spiking-unit","dual-branch","energy-efficient","Interspeech2026"] |
Novel dual-branch spiking neural network with Gated Spiking Units (GSU) for speech enhancement.
