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

Zhang, Li-Min; Li, Yang; Zhang, Yue-Ting; Ng, Giap Weng; Leau, Yu-Beng; Yan, Hao

Zhang, Li-Min; Li, Yang; Zhang, Yue-Ting; Ng, Giap Weng; Leau, Yu-Beng; Yan, Hao.

Afiliação

Zhang LM; Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an 610116, China.
Li Y; Faculty of Computing and Informatics, Universiti Malaysia Sabah, Sabah 88400, Malaysia.
Zhang YT; Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an 610116, China.
Ng GW; Key Laboratory for Artificial Intelligence and Cognitive Neuroscience of Language, Xi'an International Studies University, Xi'an 610116, China.
Leau YB; Faculty of Computing and Informatics, Universiti Malaysia Sabah, Sabah 88400, Malaysia.
Yan H; Faculty of Computing and Informatics, Universiti Malaysia Sabah, Sabah 88400, Malaysia.

Sensors (Basel) ; 23(3)2023 Jan 25.

Article em En | MEDLINE | ID: mdl-36772395

Assuntos

Aprendizado Profundo; Humanos; Masculino; Feminino; Fala; Emoções; Acústica

Palavras-chave

BiLSTM; CNN; gender classification; speech emotion recognition

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Aspecto: Determinantes_sociais_saude Limite: Female / Humans / Male Idioma: En Revista: Sensors (Basel) Ano de publicação: 2023 Tipo de documento: Article

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