RECOGNITION OF EMOTIONAL STATES IN RUSSIAN SPEECH USING MFCC FUNCTIONS AND THE BLSTM MODEL FOR THE DUSHA DATASET

Authors: P.G. Bukina, А. А. Merinov, S.S. Kharchenko et al.
Publication: IZVESTIYA SFedU. ENGINEERING SCIENCES
Published: Dec 30, 2025
Source: Crossref
Back to Search View Original Cite This Article

Related Articles

The Effects of Emotional Schema Therapy and Differentiation Training on Emotional Divorce in Women

Tahmineh Kamalian, Hassan Mirzahosseini et al. - Feb 2121

Read More
The Role of Attachment Styles and Spiritual Intelligence in Predicting Women’s Emotional Divorce

Zahra Shirzadi, Reza Khakpour et al. - Feb 2121

Read More
Ground states of semi-relativistic Pauli-Fierz and no-pair Hamiltonians in QED at critical Coulomb coupling

Martin Koenenberg, Oliver Matte - Jul 2103

Read More
Analysis on The Construction Strategy of Intelligent Music Teaching Classroom Based on Emotional Education

Xinyu Du - Jan 2028

Read More
The Connection Between Emotional Intelligence, the Level of Loneliness and Characteristics of Attitudes towards Parents in Adolescence

A.V. Degtyarev, S.D. Chivileva et al. - Sep 2027

Read More