arXiv Machine Learning By Taharim Rahman Anon, Jakaria Islam Emon

Adaptive Speech-to-Spike Encoding for Spiking Neural Networks

Read the original on arXiv Machine Learning →

arXiv:2606. 19039v1 Announce Type: cross Abstract: The mismatch between continuous acoustic signals and discrete event-driven processing remains a fundamental bottleneck for neuromorphic speech processing.

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arXiv AI
Jun 24

Neuromorphic Speech Enhancement with Dual-Branch Spiking Neural Networks

arXiv:2606. 23761v1 Announce Type: cross Abstract: Spiking neural network (SNN)-based neuromorphic speech enhancement has emerged as a promising paradigm due to its energy efficiency, yet it still underperforms classical artificial neural network (ANN)-based approaches owing to binary activations and the lack of well-designed network architectures.

By Taiyu Meng, Wenbin Jiang, Haoyi Zhang, Yuhan Zhou, Haibing Yin