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Improving Hybrid CTC/Attention Architecture for Agglutinative Language Speech Recognition
Unlike the traditional model, the end-to-end (E2E) ASR model does not require speech information such as a pronunciation dictionary, and its system is built through a single neural network and obtains performance comparable to that of traditional methods. However, the model requires massive amounts...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9571619/ https://www.ncbi.nlm.nih.gov/pubmed/36236419 http://dx.doi.org/10.3390/s22197319 |