Classification of Infant Crying Sounds Using SE-ResNet-Transformer

Recently, emotion analysis has played an important role in the field of artificial intelligence, particularly in the study of speech emotion analysis, which can help understand one of the most direct ways of human emotional communication—speech. This study focuses on the emotion analysis of infant c...

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Hlavní autoři:	Feng Li, Chenxi Cui, Yashi Hu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-10-01
Edice:	Sensors
Témata:	SE-ResNet-Transformer Mel-frequency cepstral coefficient (MFCC) classification of infant crying
On-line přístup:	https://www.mdpi.com/1424-8220/24/20/6575
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