46 citations · 189 across the 14 of their papers we have counts for
14 papers
Uncertainty-Based Ensemble Learning For Speech Classification
Bagus Tris Atmaja, Felix Burkhardt
Speech classification has attracted increasing attention due to its wide applications, particularly in classifying physical and mental states. However, these tasks are challenging…
Ensembling Multilingual Pre-Trained Models for Predicting Multi-Label Regression Emotion Share from Speech
Bagus Tris Atmaja, Akira Sasou
Speech emotion recognition has evolved from research to practical applications. Previous studies of emotion recognition from speech have focused on developing models on certain dat…
Lab-scale Vibration Analysis Dataset and Baseline Methods for Machinery Fault Diagnosis with Machine Learning
Bagus Tris Atmaja, Haris Ihsannur, Suyanto +1
The monitoring of machine conditions in a plant is crucial for production in manufacturing. A sudden failure of a machine can stop production and cause a loss of revenue. The vibra…
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…
Two-stage dimensional emotion recognition by fusing predictions of acoustic and text networks using SVM
Bagus Tris Atmaja, Masato Akagi
Automatic speech emotion recognition (SER) by a computer is a critical component for more natural human-machine interaction. As in human-human interaction, the capability to percei…
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…
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…
Deep Multilayer Perceptrons for Dimensional Speech Emotion Recognition
Bagus Tris Atmaja, Masato Akagi
Modern deep learning architectures are ordinarily performed on high-performance computing facilities due to the large size of the input features and complexity of its model. This p…
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…
Multitask Learning and Multistage Fusion for Dimensional Audiovisual Emotion Recognition
Bagus Tris Atmaja, Masato Akagi
Due to its ability to accurately predict emotional state using multimodal features, audiovisual emotion recognition has recently gained more interest from researchers. This paper p…
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…