A robust method for speech emotion recognition based on infinite Student's \(t\)-mixture model

DOI10.1155/2015/475810zbMath1394.68347OpenAlexW1855573232WikidataQ59118686 ScholiaQ59118686MaRDI QIDQ1665771

Li Zhao, Cheng Zha, Huawei Tao, Xinzhou Xu, Xinran Zhang

Publication date: 27 August 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/475810

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Uses Software

• OpenEAR

Cites Work

• Unnamed Item
• Analytic calculations for the EM algorithm for multivariate skew-\(t\) mixture models
• Survey on speech emotion recognition: features, classification schemes, and databases
• Kullback-leibler approximation of spectral density functions
• Hidden Markov Models With Stick-Breaking Priors
• Extending mixtures of multivariate \(t\)-factor analyzers

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