A Deep Learning Method Using Gender-Specific Features for Emotion Recognition

• 主要な著者: Li-Min Zhang, Yang Li, Yue-Ting Zhang, Giap Weng Ng, Yu-Beng Leau, Hao Yan
• フォーマット: 論文
• 言語: English; English
• 出版事項: Molecular Diversity Preservation International (MDPI) 2023
• 主題: PN4775-4784 Technique. Practical journalism; QA75.5-76.95 Electronic computers. Computer science
• オンライン･アクセス: https://eprints.ums.edu.my/id/eprint/36091/1/ABSTRACT.pdf; https://eprints.ums.edu.my/id/eprint/36091/2/FULL%20TEXT.pdf; https://eprints.ums.edu.my/id/eprint/36091/; https://doi.org/10.3390/s23031355

Speech reflects people’s mental state and using a microphone sensor is a potential method for human–computer interaction. Speech recognition using this sensor is conducive to the diagnosis of mental illnesses. The gender difference of speakers affects the process of speech emotion recognition based...