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...

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Detalles Bibliográficos
Autores principales: Kim, June-Woo, Yoon, Hyekyung, Jung, Ho-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

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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