Psychosis speech recognition algorithm based on deep embedded sparse stacked autoencoder and manifold ensemble

Speech feature learning is the core and key of speech recognition method for mental illness. Deep feature learning can automatically extract speech features, but it is limited by the problem of small samples. Traditional feature extraction (original features) can avoid the impact of small samples, b...

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Veröffentlicht in:	Sheng wu yi xue gong cheng xue za zhi Jg. 38; H. 4; S. 655
Hauptverfasser:	Zhang, Yi, Qin, Xiaolin, Lin, Yuan, Li, Yongming, Wang, Pin, Zhang, Zuwei, Li, Xiaofei
Format:	Journal Article
Sprache:	Chinesisch
Veröffentlicht:	China 25.08.2021
Schlagworte:	Algorithms Databases, Factual Humans Psychotic Disorders Speech Speech Perception psychosis speech recognition feature fusion L1 regularization embedded hybrid features sparse stacked autoencoder manifold ensemble learning
ISSN:	1001-5515
Online-Zugang:	Weitere Angaben
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