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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...
| Autores principales: | , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| 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 |