MKD: Mixup-Based Knowledge Distillation for Mandarin End-to-End Speech Recognition

MKD: Mixup-Based Knowledge Distillation for Mandarin End-to-End Speech Recognition

Large-scale automatic speech recognition model has achieved impressive performance. However, huge computational resources and massive amount of data are required to train an ASR model. Knowledge distillation is a prevalent model compression method which transfers the knowledge from large model to sm...

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Bibliographic Details
Main Authors: Xing Wu, Yifan Jin, Jianjia Wang, Quan Qian, Yike Guo
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Algorithms
Subjects:
end-to-end speech recognition
knowledge distillation
model compression
data efficiency
mixup
Online Access:https://www.mdpi.com/1999-4893/15/5/160

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https://www.mdpi.com/1999-4893/15/5/160

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