RAMAS: Russian Multimodal Corpus of Dyadic Interaction for Studying Emotion Recognition

doi 10.7287/peerj.preprints.26688v1
Full Text
Abstract

Available in full text

Date
Authors
Publisher

PeerJ

Related search

RAMAS: Russian Multimodal Corpus of Dyadic Interaction for Studying Emotion Recognition

2018English

Speech Emotion Recognition in Dyadic Dialogues With Attentive Interaction Modeling

2019English

Interactive Robot Learning for Multimodal Emotion Recognition

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2019English

Target-Adapted Subspace Learning for Cross-Corpus Speech Emotion Recognition

IEICE Transactions on Information and Systems
Electronic EngineeringPattern RecognitionHardwareComputer VisionElectricalArchitectureArtificial IntelligenceSoftware
2019English

Multimodal Emotion Recognition Method Based on Convolutional Auto-Encoder

International Journal of Computational Intelligence Systems
Computational MathematicsComputer Science
2019English

Supplemental Material for Introducing the Geneva Multimodal Expression Corpus for Experimental Research on Emotion Perception

Emotion
MedicinePsychology
2011English

Multimodal Emotion Recognition From Expressive Faces, Body Gestures and Speech

English

Feature Fusion Algorithm for Multimodal Emotion Recognition From Speech and Facial Expression Signal

MATEC Web of Conferences
Materials ScienceEngineeringChemistry
2016English

A Multimodal Approach to Emotion Recognition Ability in Autism Spectrum Disorders

Journal of Child Psychology and Psychiatry and Allied Disciplines
DevelopmentalMental HealthChild HealthEducational PsychologyPerinatologyPsychiatryPediatrics
2010English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy