Speech Emotion Recognition Based on Selective Interpolation Synthetic Minority Over-Sampling Technique in Small Sample Environment

Speech Emotion Recognition Based on Selective Interpolation Synthetic Minority Over-Sampling Technique in Small Sample Environment

Speech emotion recognition often encounters the problems of data imbalance and redundant features in different application scenarios. Researchers usually design different recognition models for different sample conditions. In this study, a speech emotion recognition model for a small sample environm...

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Bibliographic Details
Main Authors: Zhen-Tao Liu, Bao-Han Wu, Dan-Yun Li, Peng Xiao, Jun-Wei Mao
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
speech emotion recognition
data imbalance processing
feature selection
SISMOTE
Online Access:https://www.mdpi.com/1424-8220/20/8/2297

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