84 citations
- Bandung Institute of TechnologyID5 papers
- University of EssexGB4 papers
- Japan Advanced Institute of Science and TechnologyJP3 papers
- Khalifa University of Science and TechnologyAE3 papers
- Carl von Ossietzky Universität OldenburgDE2 papers
- Delft University of TechnologyNL2 papers
- National Institute of Advanced Industrial Science and TechnologyJP2 papers
- National Research and Innovation AgencyID2 papers
- Sophia UniversityJP2 papers
- Tohoku UniversityJP2 papers
- Université Grenoble AlpesFR2 papers
- University of AugsburgDE2 papers
4 papers · 1 filter
Comparing Hysteresis Comparator and RMS Threshold Methods for Automatic Single Cough Segmentations
Bagus Tris Atmaja, Zanjabila, Suyanto +1
Research on diagnosing diseases based on voice signals currently are rapidly increasing, including cough-related diseases. When training the cough sound signals into deep learning…
The Effect of Silence Feature in Dimensional Speech Emotion Recognition
Bagus Tris Atmaja, Masato Akagi
Silence is a part of human-to-human communication, which can be a clue for human emotion perception. For automatic emotion recognition by a computer, it is not clear whether silenc…
On The Differences Between Song and Speech Emotion Recognition: Effect of Feature Sets, Feature Types, and Classifiers
Bagus Tris Atmaja, Masato Akagi
In this paper, we evaluate the different features sets, feature types, and classifiers on both song and speech emotion recognition. Three feature sets: GeMAPS, pyAudioAnalysis, and…
Evaluation of Error and Correlation-Based Loss Functions For Multitask Learning Dimensional Speech Emotion Recognition
Bagus Tris Atmaja, Masato Akagi
The choice of a loss function is a critical part of machine learning. This paper evaluated two different loss functions commonly used in regression-task dimensional speech emotion…