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...

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Hlavní autoři: Jaebong Lim, Yunju Baek
Médium: Článek
Jazyk:English
Vydáno: IEEE 2023-01-01
Edice:IEEE Access
Témata:
Curriculum learning
data augmentation
joint framework
knowledge distillation
neural network compression
noise-robust keyword spotting
On-line přístup:https://ieeexplore.ieee.org/document/10247011/

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

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