1. Effective Integration of KAN for Keyword Spotting
- Author
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Xu, Anfeng, Zhang, Biqiao, Kong, Shuyu, Huang, Yiteng, Yang, Zhaojun, Srivastava, Sangeeta, and Sun, Ming
- Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing ,Computer Science - Sound - Abstract
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., Comment: Under review
- Published
- 2024