Articulation constrained learning with application to speech emotion recognition

Articulation constrained learning with application to speech emotion recognition

Abstract 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...

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Bibliographic Details
Main Authors: Mohit Shah, Ming Tu, Visar Berisha, Chaitali Chakrabarti, Andreas Spanias
Format: Article
Language:English
Published: SpringerOpen 2019-08-01
Series:EURASIP Journal on Audio, Speech, and Music Processing
Subjects:
Emotion recognition
Articulation
Constrained optimization
Cross-corpus
Online Access:http://link.springer.com/article/10.1186/s13636-019-0157-9

Internet

http://link.springer.com/article/10.1186/s13636-019-0157-9

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