12 citations · 19 across the 7 of their papers we have counts for
5 papers · 1 filter
Effect of different splitting criteria on the performance of speech emotion recognition
Bagus Tris Atmaja, Akira Sasou
Traditional speech emotion recognition (SER) evaluations have been performed merely on a speaker-independent condition; some of them even did not evaluate their result on this cond…
Predicting Affective Vocal Bursts with Finetuned wav2vec 2.0
Bagus Tris Atmaja, Akira Sasou
The studies of predicting affective states from human voices have relied heavily on speech. This study, indeed, explores the recognition of humans' affective state from their vocal…
Cross-dataset COVID-19 Transfer Learning with Cough Detection, Cough Segmentation, and Data Augmentation
Bagus Tris Atmaja, Zanjabila, Suyanto +1
This paper addresses issues on cough-based COVID-19 detection. We propose a cross-dataset transfer learning approach to improve the performance of COVID-19 detection by incorporati…
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…
Jointly Predicting Emotion, Age, and Country Using Pre-Trained Acoustic Embedding
Bagus Tris Atmaja, Zanjabila, Akira Sasou
In this paper, we demonstrated the benefit of using pre-trained model to extract acoustic embedding to jointly predict (multitask learning) three tasks: emotion, age, and native co…