RAMAS: Russian Multimodal Corpus of Dyadic Interaction for Affective Computing

• Published in: Speech and Computer Vol. 11096; pp. 501 - 510
• Main Authors: Perepelkina, Olga, Kazimirova, Evdokia, Konstantinova, Maria
• Format: Book Chapter
• Language: English
• Published: Switzerland Springer International Publishing AG 2018; Springer International Publishing
• Series: Lecture Notes in Computer Science
• Subjects: Affective computing; Multimodal affect recognition; Multimodal database; Russian emotion database

Emotion expression encompasses various types of information, including face and eye movement, voice and body motion. Emotions collected from real conversations are difficult to classify using one channel. That is why multimodal techniques have recently become more popular in automatic emotion recogn...