Speech emotion recognition based on multi‐feature and multi‐lingual fusion
- 28 August 2021
- journal article
- research article
- Published by Springer Nature in Multimedia Tools and Applications
- Vol. 81 (4) , 4897-4907
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This publication has 20 references indexed in Scilit:
- Cross-Corpus Acoustic Emotion Recognition with Multi-Task Learning: Seeking Common Ground While Preserving DifferencesIEEE Transactions on Affective Computing, 2017
- Audio Set: An ontology and human-labeled dataset for audio events2017
- CHEAVD: a Chinese natural emotional audio–visual databaseJournal of Ambient Intelligence and Humanized Computing, 2016
- The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective ComputingIEEE Transactions on Affective Computing, 2015
- Cross-language knowledge transfer using multilingual deep neural network with shared hidden layers2013
- IEMOCAP: interactive emotional dyadic motion capture databaseLanguage Resources and Evaluation, 2008
- Recognition of negative emotions from the speech signal2005
- Emotion recognition from Mandarin speech signals2005
- Comparison of parametric representations for monosyllabic word recognition in continuously spoken sentencesIEEE Transactions on Acoustics, Speech, and Signal Processing, 1980
- Emotions and Speech: Some Acoustical CorrelatesThe Journal of the Acoustical Society of America, 1972