A supervised non-negative matrix factorization model for speech emotion recognition

Mi-Xiao Hou; Jinxing Li; Guangming Lu

doi:10.1016/j.specom.2020.08.002

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A supervised non-negative matrix factorization model for speech emotion recognition

Mi-Xiao Hou Jinxing Li Guangming Lu

Year: 2020 Journal: Speech Communication Vol: 124 Pages: 13-20 Publisher: Elsevier BV

DOI: 10.1016/j.specom.2020.08.002

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Keywords:

Non-negative matrix factorization Discriminative model Computer science Matrix decomposition Pattern recognition (psychology) Artificial intelligence Dimensionality reduction Similarity (geometry) Curse of dimensionality Constraint (computer-aided design) Speech recognition Feature vector Representation (politics) Mathematics Image (mathematics)

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Emotion and Mood Recognition

Social Sciences → Psychology → Experimental and Cognitive Psychology

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

A supervised non-negative matrix factorization model for speech emotion recognition

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