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Improved Spoken Language Representation for Intent Understanding in a Task-Oriented Dialogue System
Successful applications of deep learning technologies in the natural language processing domain have improved text-based intent classifications. However, in practical spoken dialogue applications, the users’ articulation styles and background noises cause automatic speech recognition (ASR) errors, a...
Autores principales: | Kim, June-Woo, Yoon, Hyekyung, Jung, Ho-Young |
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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/PMC8877647/ https://www.ncbi.nlm.nih.gov/pubmed/35214405 http://dx.doi.org/10.3390/s22041509 |
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