Neuromorphic Mamba Models

Spiking and Event-driven Neuromorphic Mamba Models for Efficient Speech Recognition

arXiv:2606.01135v1 Announce Type: new Abstract: Deep learning has greatly advanced automatic speech recognition (ASR), enabling widespread deployment on edge devices such as smartphones and smart home systems. However, the computational and energy demands of deep neural networks pose significant challenges for such resource-constrained deployments, introducing latency and limiting real-time interaction. Neuromorphic computing offers a promising solution by introducing activation sparsity...