Articulation constrained learning with application to speech emotion recognition

Speech emotion recognition methods combining articulatory information with acoustic features have been previously shown to improve recognition performance. Collection of articulatory data on a large scale may not be feasible in many scenarios, thus restricting the scope and applicability of such met...

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Detalles Bibliográficos
Autores principales: Shah, Mohit, Tu, Ming, Berisha, Visar, Chakrabarti, Chaitali, Spanias, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6919554/
https://www.ncbi.nlm.nih.gov/pubmed/31853252
http://dx.doi.org/10.1186/s13636-019-0157-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6919554/
https://www.ncbi.nlm.nih.gov/pubmed/31853252
http://dx.doi.org/10.1186/s13636-019-0157-9

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