End-to-End Automatic Pronunciation Error Detection Based on Improved Hybrid CTC/Attention Architecture

Advanced automatic pronunciation error detection (APED) algorithms are usually based on state-of-the-art automatic speech recognition (ASR) techniques. With the development of deep learning technology, end-to-end ASR technology has gradually matured and achieved positive practical results, which pro...

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Detalles Bibliográficos
Autores principales: Zhang, Long, Zhao, Ziping, Ma, Chunmei, Shan, Linlin, Sun, Huazhi, Jiang, Lifen, Deng, Shiwen, Gao, Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180994/
https://www.ncbi.nlm.nih.gov/pubmed/32218379
http://dx.doi.org/10.3390/s20071809

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180994/
https://www.ncbi.nlm.nih.gov/pubmed/32218379
http://dx.doi.org/10.3390/s20071809

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