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cs.SD2022★ 2 cited
Small Footprint Multi-channel ConvMixer for Keyword Spotting with Centroid Based Awareness
Dianwen Ng, Jin Hui Pang, Yang Xiao +3
It is critical for a keyword spotting model to have a small footprint as it typically runs on-device with low computational resources. However, maintaining the previous SOTA perfor…
cs.SD2022★ 50 cited
ConvMixer: Feature Interactive Convolution with Curriculum Learning for Small Footprint and Noisy Far-field Keyword Spotting
Dianwen Ng, Yunqi Chen, Biao Tian +2
Building efficient architecture in neural speech processing is paramount to success in keyword spotting deployment. However, it is very challenging for lightweight models to achiev…