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End-to-end emotional speech recognition using acoustic model adaptation based on knowledge distillation
The end-to-end approach provides better performance in speech recognition compared to the traditional hidden Markov model-deep neural network (HMM-DNN)-based approach, but still shows poor performance in abnormal speech, especially emotional speech. The optimal solution is to build an acoustic model...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9923643/ https://www.ncbi.nlm.nih.gov/pubmed/36817556 http://dx.doi.org/10.1007/s11042-023-14680-y |