Black-box adversarial attacks through speech distortion for speech emotion recognition

Abstract Speech emotion recognition is a key branch of affective computing. Nowadays, it is common to detect emotional diseases through speech emotion recognition. Various detection methods of emotion recognition, such as LTSM, GCN, and CNN, show excellent performance. However, due to the robustness...

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Bibliografiske detaljer

Principais autores:	Jinxing Gao, Diqun Yan, Mingyu Dong
Format:	Artigo
Sprog:	Inglês
Udgivet:	SpringerOpen 2022-08-01
Serier:	EURASIP Journal on Audio, Speech, and Music Processing
Fag:	Convolutional Neural Network Robustness Speech emotion recognition Adversarial attack Adversarial training
Online adgang:	https://doi.org/10.1186/s13636-022-00254-7
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