Semi-Supervised Training of Transformer and Causal Dilated Convolution Network with Applications to Speech Topic Classification

Semi-Supervised Training of Transformer and Causal Dilated Convolution Network with Applications to Speech Topic Classification

Aiming at the audio event recognition problem of speech recognition, a decision fusion method based on the Transformer and Causal Dilated Convolutional Network (TCDCN) framework is proposed. This method can adjust the model sound events for a long time and capture the time correlation, and can effec...

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Bibliographic Details
Main Authors: Jinxiang Zeng, Du Zhang, Zhiyi Li, Xiaolin Li
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Applied Sciences
Subjects:
topic classification
automatic speech recognition
semi-supervised learning
semi-supervised training
Transformer and Causal Dilated Convolution Network
Online Access:https://www.mdpi.com/2076-3417/11/12/5712

Internet

https://www.mdpi.com/2076-3417/11/12/5712

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