Exploring deep learning algorithm to model emotions recognition from speech
Authors:
- Andry ChowandaACAndry Chowanda
- Irene Anindaputri IswantoIIIrene Anindaputri Iswanto
- Esther Widhi AndangsariEAEsther Widhi Andangsari
Open Access
- 9 January 2023
- journal article
- research article
- Published by Elsevier in Procedia Computer Science
- Vol. 216, 706-713
Abstract
No abstract availableFunding Information
- Ministry of Education Culture Research and Technology
This publication has 13 references indexed in Scilit:
- Generalized zero-shot emotion recognition from body gesturesApplied Intelligence, 2021
- Separable convolutional neural networks for facial expressions recognitionJournal of Big Data, 2021
- Recognition of human emotions using EEG signals: A reviewComputers in Biology and Medicine, 2021
- Facial expression recognition via ResNet-50International Journal of Cognitive Computing in Engineering, 2021
- DNN-HMM-Based Speaker-Adaptive Emotion Recognition Using MFCC and Epoch-Based FeaturesCircuits, Systems, and Signal Processing, 2020
- Coarse-to-Fine Speech Emotion Recognition Based on Multi-Task LearningJournal of Signal Processing Systems, 2020
- Speech emotion recognition based on DNN-decision tree SVM modelSpeech Communication, 2019
- Multi-modal Asian Conversation Mobile Video Dataset for Recognition TaskInternational Journal of Electrical and Computer Engineering (IJECE), 2018
- Recurrent Neural Network to Deep Learn Conversation in IndonesianProcedia Computer Science, 2017
- IEMOCAP: interactive emotional dyadic motion capture databaseLanguage Resources and Evaluation, 2008