Effective Integration of KAN for Keyword Spotting
<|reference_start|>Effective Integration of KAN for Keyword Spotting: Keyword spotting (KWS) is an important speech processing component for smart devices with voice assistance capability. In this paper, we investigate if Kolmogorov-Arnold Networks (KAN) can be used to enhance the performance of KWS. We explore various approaches to integrate KAN for a model architecture based on 1D Convolutional Neural Networks (CNN). We find that KAN is effective at modeling high-level features in lower-dimensional spaces, resulting in improved KWS performance when integrated appropriately. The findings shed light on understanding KAN for speech processing tasks and on other modalities for future researchers.<|reference_end|>
@article{xu2024effective,
    title={Effective Integration of KAN for Keyword Spotting},
    author={Anfeng Xu, Biqiao Zhang, Shuyu Kong, Yiteng Huang, Zhaojun Yang,
  Sangeeta Srivastava, Ming Sun},
    journal={arXiv preprint arXiv:2409.08605},
    year={2024},
    archivePrefix={arXiv},
    eprint={2409.08605},
    primaryClass={eess.AS cs.SD}
}