Joint Framework of Curriculum Learning and Knowledge Distillation for Noise-Robust and Small-Footprint Keyword Spotting

Joint Framework of Curriculum Learning and Knowledge Distillation for Noise-Robust and Small-Footprint Keyword Spotting

Spoken keyword spotting, which is characterized by simplicity and low latency, has been widely used in consumer electronics to facilitate always-on voice interfaces. Small-footprint keyword spotting based on tiny convolutional neural networks can be implemented on resource-constrained, yet energy-ef...

詳細記述

書誌詳細
主要な著者: Jaebong Lim, Yunju Baek
フォーマット: 論文
言語:English
出版事項: IEEE 2023-01-01
シリーズ:IEEE Access
主題:
Curriculum learning
data augmentation
joint framework
knowledge distillation
neural network compression
noise-robust keyword spotting
オンライン･アクセス:https://ieeexplore.ieee.org/document/10247011/

インターネット

https://ieeexplore.ieee.org/document/10247011/

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