Cross-Language End-to-End Speech Recognition Research Based on Transfer Learning for the Low-Resource Tujia Language

Cross-Language End-to-End Speech Recognition Research Based on Transfer Learning for the Low-Resource Tujia Language

To rescue and preserve an endangered language, this paper studied an end-to-end speech recognition model based on sample transfer learning for the low-resource Tujia language. From the perspective of the Tujia language international phonetic alphabet (IPA) label layer, using Chinese corpus as an ext...

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Bibliographic Details
Main Authors: Chongchong Yu, Yunbing Chen, Yueqiao Li, Meng Kang, Shixuan Xu, Xueer Liu
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Symmetry
Subjects:
low-resource speech recognition
Tujia language
cross-language end-to-end
transfer learning
Online Access:https://www.mdpi.com/2073-8994/11/2/179

Internet

https://www.mdpi.com/2073-8994/11/2/179

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