Speech Emotion Recognition Using Multi-Scale Global–Local Representation Learning with Feature Pyramid Network

Speech emotion recognition (SER) is important in facilitating natural human–computer interactions. In speech sequence modeling, a vital challenge is to learn context-aware sentence expression and temporal dynamics of paralinguistic features to achieve unambiguous emotional semantic understanding. In...

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書誌詳細

主要な著者:	Yuhua Wang, Jianxing Huang, Zhengdao Zhao, Haiyan Lan, Xinjia Zhang
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2024-12-01
シリーズ:	Applied Sciences
主題:	speech emotion recognition multi-scale feature pyramid network convolutional self-attention
オンライン･アクセス:	https://www.mdpi.com/2076-3417/14/24/11494
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