Publications

You can also find my articles on my Google Scholar profile.

2025

• Atmaja, B. T., Zanjabila, Suyanto, Asmoro, W. A., & Sasou, A. (2025). Cross-dataset COVID-19 transfer learning with data augmentation. International Journal of Information Technology. https://doi.org/10.1007/s41870-025-02433-z

• Atmaja, B. T., & Sasou, A. (2025). Pathological Voice Detection From Sustained Vowels : Handcrafted vs. Self-supervised Learning. 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), 1–5. https://doi.org/10.1109/ICASSPW65056.2025.11011272

• Atmaja, B. T., Sasou, A., & Burkhardt, F. (2025). Performance-Weighted Ensemble Learning for Speech Classification. 2025 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 0044–0048. https://doi.org/10.1109/ICAIIC64266.2025.10920862

• Atmaja, B. T., & Sakti, S. (2025). Dementia Prediction From Speech Signal Using Optimized Prosodic Features. APSIPA Annual Summit and Conference.

• Burkhardt, F., & Atmaja, B. T. (2025). Nkululeko 1 . 0 : A Python package to predict speaker characteristics with a high-level interface How Does It Work ? Statement of Need Usage in Existing Research. Journal of Open Source Software, 0, 1–4. https://doi.org/10.21105/joss.08049

2024

• Atmaja, B. T., Zanjabila, Suyanto, & Sasou, A. (2024). Comparing hysteresis comparator and RMS threshold methods for automatic single cough segmentations. International Journal of Information Technology (Singapore), 16(1), 5–12. https://doi.org/10.1007/s41870-023-01626-8

• Suyanto, Zanjabila, Atmaja, B. T., & Asmoro, W. A. (2024). Performance Improvement of Covid-19 Cough Detection Based on Deep Learning with Segmentation Methods. Journal of Applied Data Science, 5(2), 520–531.

• Burkhardt, F., Atmaja, B. T., Derington, A., & Eyben, F. (2024). Check Your Audio Data : Nkululeko for Bias Detection. Oriental COCOSDA, 1–6. https://doi.org/10.1109/O-COCOSDA64382.2024.10800580

• Atmaja, B. T. (2024). Evaluating Hyperparameter Optimization for Machinery Anomalous Sound Detection. 2024 IEEE REGION 10 CONFERENCE (TENCON).

• Atmaja, B. T., & Sasou, A. (2024). Multi-label Emotion Share Regression From Speech Using Pre-Trained Self-Supervised Learning Models. 2024 IEEE REGION 10 CONFERENCE (TENCON).

• Atmaja, B. T., Sasou, A., & Burkhardt, F. (2024). Uncertainty-Based Ensemble Learning for Speech Classification. 2024 27th Conference of the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA), 1–6. https://doi.org/10.1109/O-COCOSDA64382.2024.10800111

2023

• Atmaja, B. T., Zanjabila, Suyanto, & Sasou, A. (2024). Comparing hysteresis comparator and RMS threshold methods for automatic single cough segmentations. International Journal of Information Technology (Singapore), 16(1), 5–12. https://doi.org/10.1007/s41870-023-01626-8

• Atmaja, B. T., & Sasou, A. (2023). Ensembling Multilingual Pre-Trained Models for Predicting Multi-Label Regression Emotion Share from Speech. 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 1026–1029. https://doi.org/10.1109/APSIPAASC58517.2023.10317109

• Atmaja, B. T., & Sasou, A. (2023). Multilingual, Cross-lingual, and Monolingual Speech Emotion Recognition on EmoFilm Dataset. 2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 1019–1025. https://doi.org/10.1109/APSIPAASC58517.2023.10317223

2022

• Atmaja, B. T., Sasou, A., & Akagi, M. (2022). Survey on bimodal speech emotion recognition from acoustic and linguistic information fusion. Speech Communication, 140, 11–28. https://doi.org/10.1016/j.specom.2022.03.002

• Atmaja, B. T., Sasou, A., & Akagi, M. (2022). Speech Emotion and Naturalness Recognitions With Multitask and Single-Task Learnings. IEEE Access, 10, 72381–72387. https://doi.org/10.1109/ACCESS.2022.3189481

• Atmaja, B. T., Zanjabila, & Sasou, A. (2022). Jointly Predicting Emotion, Age, and Country Using Pre-Trained Acoustic Embedding. 2022 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW), 1–6. https://doi.org/10.1109/ACIIW57231.2022.10085991

• Atmaja, B. T., & Sasou, A. (2022). Effects of Data Augmentations on Speech Emotion Recognition. Sensors, 22(16), 5941. https://doi.org/10.3390/s22165941

• Atmaja, B. T., & Sasou, A. (2022). Sentiment Analysis and Emotion Recognition from Speech Using Universal Speech Representations. Sensors, 22(17), 6369. https://doi.org/10.3390/s22176369

• Atmaja, B. T., & Sasou, A. (2022). Evaluating Self-Supervised Speech Representations for Speech Emotion Recognition. IEEE Access, 10, 124396–124407. https://doi.org/10.1109/ACCESS.2022.3225198

• Atmaja, B. T., & Sasou, A. (2022). Leveraging Pre-Trained Acoustic Feature Extractor For Affective Vocal Bursts Tasks. 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), November, 1409–1414. https://doi.org/10.23919/APSIPAASC55919.2022.9980083

• Atmaja, B. T., Zanjabila, & Sasou, A. (2022). On The Optimal Classifier For Affective Vocal Bursts And Stuttering Predictions Based On Pre-Trained Acoustic Embedding. 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), November, 1690–1695. https://doi.org/10.23919/APSIPAASC55919.2022.9980310

2021

• Atmaja, B. T., & Akagi, M. (2021). Two-stage dimensional emotion recognition by fusing predictions of acoustic and text networks using SVM. Speech Communication, 126, 9–21. https://doi.org/10.1016/j.specom.2020.11.003

• Atmaja, B. T., & Arifianto, D. (2021). A comparative study of sound sources separation by independent component analysis and binaural model. Journal of Physics: Conference Series, 1896(1), 012002. https://doi.org/10.1088/1742-6596/1896/1/012002

• Atmaja, B. T. (2021). Dimensional Speech Emotion Recognition by Fusing Acoustic and Linguistic Information. Japan Advanced Institute of Science and Technology.

• Atmaja, B. T., & Sasou, A. (2021). Effect of different splitting criteria on the performance of speech emotion recognition. TENCON 2021 - 2021 IEEE Region 10 Conference (TENCON), 760–764. https://doi.org/10.1109/TENCON54134.2021.9707265

• Atmaja, B. T., Sasou, A., & Akagi, M. (2021). Automatic Naturalness Recognition from Acted Speech Using Neural Networks. APSIPA Annual Summit and Conference, 731–736.

• Atmaja, B. T., & Akagi, M. (2021). Evaluation of error- And correlation-based loss functions for multitask learning dimensional speech emotion recognition. Journal of Physics: Conference Series, 1896(1), 012004. https://doi.org/10.1088/1742-6596/1896/1/012004

2020

• Atmaja, B. T., & Akagi, M. (2020). Multitask Learning and Multistage Fusion for Dimensional Audiovisual Emotion Recognition. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2020-May, 4482–4486. https://doi.org/10.1109/ICASSP40776.2020.9052916

• Atmaja, B. T., & Akagi, M. (2020). Dimensional speech emotion recognition from speech features and word embeddings by using multitask learning. APSIPA Transactions on Signal and Information Processing, 9(May), e17. https://doi.org/10.1017/ATSIP.2020.14

• Atmaja, B. T., Hamada, Y., & Akagi, M. (2020). Predicting Valence and Arousal by Aggregating Acoustic Features for Acoustic-Linguistic Information Fusion. 2020 IEEE REGION 10 CONFERENCE (TENCON), 1081–1085. https://doi.org/10.1109/TENCON50793.2020.9293899

• Atmaja, B. T., & Akagi, M. (2020). On The Differences Between Song and Speech Emotion Recognition: Effect of Feature Sets, Feature Types, and Classifiers. 2020 IEEE REGION 10 CONFERENCE (TENCON), 968–972. https://doi.org/10.1109/TENCON50793.2020.9293852

• Atmaja, B. T., & Akagi, M. (2020). Deep Multilayer Perceptrons for Dimensional Speech Emotion Recognition. 2020 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2020 - Proceedings, 325–331.

• Atmaja, B. T., & Akagi, M. (2020). Improving Valence Prediction in Dimensional Speech Emotion Recognition Using Linguistic Information. Proceedings of 2020 23rd Conference of the Oriental COCOSDA International Committee for the Co-Ordination and Standardisation of Speech Databases and Assessment Techniques, O-COCOSDA 2020, 166–171. https://doi.org/10.1109/O-COCOSDA50338.2020.9295032

• Atmaja, B. T., & Akagi, M. (2020). The Effect of Silence Feature in Dimensional Speech Emotion Recognition. 10th International Conference on Speech Prosody 2020, May, 26–30. https://doi.org/10.21437/SpeechProsody.2020-6

• Elbarougy, R., Atmaja, B. T., & Akagi, M. (2020). Continuous Audiovisual Emotion Recognition Using Feature Selection and LSTM. Journal of Signal Processing, 24(6), 229–235. https://doi.org/10.2299/jsp.24.229

2019

• Atmaja, B. T., Arifianto, D., & Akagi, M. (2019). Speech recognition on Indonesian language by using time delay neural network. ASJ Spring Meeting, 1291–1294.

• Atmaja, B. T., & Akagi, M. (2019). Speech Emotion Recognition Based on Speech Segment Using LSTM with Attention Model. 2019 IEEE International Conference on Signals and Systems (ICSigSys), 40–44. https://doi.org/10.1109/ICSIGSYS.2019.8811080

• Atmaja, B. T., Shirai, K., & Akagi, M. (2019). Speech Emotion Recognition Using Speech Feature and Word Embedding. 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 519–523. https://doi.org/10.1109/APSIPAASC47483.2019.9023098

• Atmaja, B. T., Shirai, K., & Akagi, M. (2019). Deep Learning-based Categorical and Dimensional Emotion Recognition for Written and Spoken Text. IPTEK Journal of Proceedings Series.

• Atmaja, B. T., Elbarougy, R., & Akagi, M. (2019). RNN-based Dimensional Speech Emotion Recognition. ASJ Autumn Meeting, 743–744.

2018

• Lestari, R. Y., Harsono, D., Cahyana, B. T., Atmaja, B. T., Asmoro, W. A., Perindustrian, K., Selatan, K., Fisika, D. T., & Timur, J. (2018). Tingkat redaman suara papan komposit dari tandan kosong kelapa sawit dan serbuk kayu akasia. Prosiding Seminar Nasional Teknologi Dan Inovasi Industri, 31–38.

• Elbarougy, R., Atmaja, B. T., & Akagi, M. (2018). Continuous Tracking of Emotional State from Speech Based on Emotion Unit. ASJ Autumn Meeting, 1(1), 1231–1234.

2017

• Arifianto, D., Wirawan, W., Atmaja, B. T., Dhanardhono, T., & Rahman, S. A. (2017). Azimuth Tracking of Underwater Moving Sound Source Based on Time Delay Estimation Using Hydrophone Array. Procedia Engineering, 170. https://doi.org/10.1016/j.proeng.2017.03.039

2016

• Atmaja, B. T., Farid, M. N., & Arifianto, D. (2016). Speech enhancement on smartphone voice recording. Journal of Physics: Conference Series, 776(1). https://doi.org/10.1088/1742-6596/776/1/012072

• Atmaja, B. T., & Arifianto, D. (2016). Signal Enhancement by Single Channel Source Separation. IPTEK Journal of Proceedings Serie, 1(2), 2–3.

• Atmaja, B. T., Puabdillah, M. F., Farid, M. N., & Asmoro, W. A. (2016). Prediction and simulation of internal train noise resulted by different speed and air conditioning unit. Journal of Physics: Conference Series, 776(1). https://doi.org/10.1088/1742-6596/776/1/012072

2014

• Tris Atmaja, B., & Arifianto, D. (2014). Pemisahan Sumber Suara Tercampur Berdasarkan Penelusuran Frekuensi Dasar Pada Sinyal Wicara dan Musik. Seminar Nasional Getaran Dan Akustik. https://drive.google.com/file/d/0B2cAmw9oV5cuTVkwa18yQ194Nnc/view?usp=sharing

2012

• Atmaja, B. T. (2012). On Source Signal Segregation Based On Binaural Inputs. Institut Teknologi Sepuluh Nopember.

• Atmaja, B. T., Arifianto, D., Chisaki, Y., & Usagawa, T. (2012). Signal Enhancement by Using Sound Separation Methods Based On Binaural Inputs. Basic Science, 1(3).

• Putra, B., Atmaja, B. T., & Hidayat, S. (2012). Fusion of artificial neural network and fuzzy system for short term weather forecasting. International Journal of Information and Communication Technology, 4(2–4), 210–226. https://doi.org/10.1504/IJICT.2012.048765

2011

• Atmaja, B. T., Arifianto, D., Usagawa, T., Chisaki, Y., & Usagawa, T. (2011). On Performance of Two-Sensor Sound Separation Methods Including Binaural Processors. ASJ Kyushu Meeting, 8555(1), 2–5.

• Putra, B., Atmaja, B. T., & Prananto, D. (2011). Prototyping of Quranic Verse Recitation Learning Software Using Speech Recognition Techniques Based on Cepstral Feature. International Conference on Informatics for Development, 2011(Icid), 82–87.

• Putra, B., Atmaja, B. T., & Hidayat, S. (2011). Short Term Weather Forecasting Using Fusion of Fuzzy-Artificial Neural Network. International Conference on Informatics for Development, 2011(Icid), 48–53.

• Atmaja, B. T. (2011). Kebangkitan Sains Islam, Kebangkitan Peradaban Islam.

2010

• Atmaja, B. T., Putra, B., & Prananto, D. (2010). Developing Quranic Verse Recitation Learning Software Based On Speech Recognition Techniques. Prosiding Seminar Nasional Teknik Fisika (SNTF).

• Atmaja, B. T. (2010). Rekonstruksi pendidikan pesantren dengan membangun budaya ilmiah dan islamisasi sains.

2009

• Atmaja, B. T., & Arifianto, D. (2009). Blind Sound Separation Using Frequency-Domain And Time-Domain Independent Component Analysis For Machines Fault Detection. Proceeding of The International Conference on Advanced Computing and Information System (ICACSIS), 259–263.

• Putra, B., & Atmaja, B. T. (2009). Integrasi Sistem Fuzzy-JST Untuk Prakiraan Cuaca Jangka Pendek (Studi Kasus di Surabaya).

• Atmaja, B. T. (2009). Pemisahan Banyak Sumber Suara Mesin Dari Microphone Array Dengan Metode Independent Component Analysis (ICA) Untuk Deteksi Kerusakan. Institut Teknologi Sepuluh Nopember.

• Putra, B., & Atmaja, B. T. (2009). Implementasi Sistem Fuzzy Untuk Pengaturan Lampu Lalu Lintas.

• Atmaja, B. T. (2009). Integrasi Al-Quran dan Sains Untuk Memodelkan Ulang Konsep Perputaran Bumi dan Matahari.

• Atmaja, B. T., & Arifianto, D. (2009). Machinery Fault Diagnosis Using Independent Component Analyis and Instantaneous Frequency. Proceeding of International Conference on Instrumentation, Communications, Information Technology and Biomedical Engineering (ICICI-BME). https://doi.org/10.1109/ICICI-BME.2009.5417257

2007

• Atmaja, B. T., & Putra, B. (2007). Kajian Al-Quran Terhadap Absolutisme Kecepatan Cahaya Dalam Teori Fisika Relativistik.