Herremans D., Lauwers W..  2017.  Visualizing the evolution of alternative hit charts. The 18th International Society for Music Information Retrieval Conference (ISMIR) - Late Breaking Demo.

• Google Scholar
• BibTeX

dh_visualiation_preprint.pdf (5.34 MB)

Agus N., Anderson H., Chen J.M., Lui S., Herremans D..  2018.  Minimally Simple Binaural Room Modelling Using a Single Feedback Delay Network. Journal of the Audio Engineering Society. 66(10):791-807.

• Google Scholar
• BibTeX

angus_jaes_preprint.pdf (6.39 MB)

Agus N., Anderson H., Chen J.M., Lui S., Herremans D..  2018.  Perceptual evaluation of measures of spectral variance. Journal of the Acoustical Society of America. 143(6):3300–3311.

• Google Scholar
• BibTeX

jasa_an_dh_preprint.pdf (2.46 MB)

Lin K.W.E., BT B, Koh E., Lui S., Herremans D..  2018.  Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross Entropy. Neural Computing and Applications.

• Google Scholar
• BibTeX

main.pdf (2.59 MB)

Lin K.W.E., BT B, Koh E., Lui S., Herremans D..  2018.  Singing Voice Separation Using a Deep Convolutional Neural Network Trained by Ideal Binary Mask and Cross Entropy. Neural Computing and Applications.

• Google Scholar
• BibTeX

main.pdf (2.59 MB)

Hee H.I., BT B, Karunakaran A., Herremans D., Teoh O.H., Lee K.P., Teng S.S., Lui S., Chen J.M..  2019.  Development of Machine Learning for asthmatic and healthy voluntary cough - a proof of concept study. Applied Sciences. 9(14)

• Google Scholar
• BibTeX

applsci-09-02833.pdf (2.06 MB)

Hee H.I., BT B, Karunakaran A., Herremans D., Teoh O.H., Lee K.P., Teng S.S., Lui S., Chen J.M..  2019.  Development of Machine Learning for asthmatic and healthy voluntary cough - a proof of concept study. Applied Sciences. 9(14)

• Google Scholar
• BibTeX

applsci-09-02833.pdf (2.06 MB)

Lee-Leon A., Yuen C., Herremans D..  2019.  Doppler Invariant Demodulation for Shallow Water Acoustic Communications Using Deep Belief Networks. 16th IEEE Asia Pacific Wireless Communications Symposium (APWCS).

• Google Scholar
• BibTeX

1909.02850.pdf (790.54 KB)

Lee-Leon A., Yuen C., Herremans D..  2019.  A Hybrid Fuzzy Logic-Neural Network Approach For Multi-path Separation Of Underwater Acoustic Signals. 89th IEEE Vehicular Technology Conference.

• Google Scholar
• BibTeX

fuzzy logic.pdf (1.66 MB)

Luo Y.J., Agres K., Herremans D..  2019.  Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders. ISMIR.

• Google Scholar
• BibTeX

jyun-ismir.pdf (5.62 MB)

Agres K., Lui S., Herremans D..  2019.  A novel music-based game with motion capture to support cognitive and motor function in the elderly. IEEE Conference on Games.

• Google Scholar
• BibTeX

preprint.pdf (2.6 MB)

BT B, Lin K.W.E., Lui S., Chen J.M., Herremans D..  2019.  Towards robust audio spoofing detection: a detailed comparison of traditional and learned features. IEEE Access. 7:84229-84241.

• Google Scholar
• BibTeX

ieee_access_herremans.pdf (14.31 MB)

BT B, Lin K.W.E., Lui S., Chen J.M., Herremans D..  2019.  Towards robust audio spoofing detection: a detailed comparison of traditional and learned features. IEEE Access. 7:84229-84241.

• Google Scholar
• BibTeX

ieee_access_herremans.pdf (14.31 MB)

BT B, Hee H.I., Teoh O.H., Lee K.P., Kapoor S., Herremans D., Chen J.M..  2020.  Asthmatic versus healthy child classification based on cough and vocalised /a:/ sounds. The Journal of the Acoustical Society of America (JASA). 148, EL253

• Google Scholar
• BibTeX

Tan HHao, Luo Y.J., Herremans D..  2020.  Generative Modelling for Controllable Audio Synthesis of Expressive Piano Performance. Workshop on Machine Learning for Music Discover (ML4MD) as part of ICML.

• Google Scholar
• BibTeX

2006.09833.pdf (2.81 MB)

Garg K., Singh A., Herremans D., Lall B..  2020.  PerceptionGAN: Real-world image construction from provided text through perceptual understanding. 4th Int. Conf. on Imaging, Vision and Pattern Recognition (IVPR), and 9th Int. Conf. on Informatics, Electronics & Vision (ICIEV).

• Google Scholar
• BibTeX

perceptionGAN-preprint.pdf (2.83 MB)

Cheuk K.W., Luo Y.J., BT B, Roig G., Herremans D..  2020.  Regression-based music emotion prediction using triplet neural networks. Proceedings of the International Joint Conference on Neural Networks (IJCNN).

• Google Scholar
• BibTeX

2001.09988.pdf (777.31 KB)

Luo Y.J., Hsu C.-C., Agres K., Herremans D..  2020.  Singing voice conversion with disentangled representations of singer and vocal technique using variational autoencoders. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP).

• Google Scholar
• BibTeX

1912.02613.pdf (2.9 MB)

Luo Y.J., Cheuk K.W., Nakano T., Goto M., Herremans D..  2020.  Unsupervised disentanglement of pitch and timbre for isolated musical instrument sounds. Proceedings of the International Society of Music Information Retrieval (ISMIR).

• Google Scholar
• BibTeX

T BB, Hee HIng, Kapoor S, Teoh OHoe, Teng SShin, Lee KPin, Herremans D, Chen JMing.  2021.  Deep Neural Network Based Respiratory Pathology Classification Using Cough Sounds. Sensors. 21(16):5555.

• Google Scholar
• BibTeX

2106.12174.pdf (6.52 MB)

Cheuk K.W., Luo Y.J., Benetos E., Herremans D..  2021.  The Effect of Spectrogram Reconstructions on Automatic Music Transcription:An Alternative Approach to Improve Transcription Accuracy. Proceedings of the International Conference on Pattern Recognition (ICPR2020).

• Google Scholar
• BibTeX

2010.09969.pdf (3.46 MB)

Cheuk K.W., Luo Y.J., Benetos E., Herremans D..  2021.  Revisiting the Onsets and Frames Model with Additive Attention. Proceedings of the International Joint Conference on Neural Networks (IJCNN).

• Google Scholar
• BibTeX

2104.06607.pdf (1.52 MB)

Lee-Leon A., Yuen C., Herremans D..  2021.  Underwater Acoustic Communication Receiver Using Deep Belief Network. IEEE Transactions on Communications. :1-1.

• Google Scholar
• BibTeX

2102.13397.pdf (12.87 MB)

Clarke C.J., Chowdhury J., BT B, Priyadarshinee P., Lim C.M.Ying, I. Tan FXing, Herremans D., Chen J.M..  2022.  Computationally Efficient Physics Approximating Neural Networks for Highly Nonlinear Maps. 2022 International Conference on Research in Adaptive and Convergent Systems.

• Google Scholar
• BibTeX

Levers O.D, Herremans D., Dipankar A., Blessing L..  2022.  Downscaling using Deep Convolutional Autoencoders, a case study for South East Asia. Egusphere preprint.

• Google Scholar
• BibTeX

egusphere-2022-234.pdf (8.99 MB)

BT B, Hee H.I., Ming C., Lin Y., Priyadarshinee P., Clarke C.J., Herremans D., Chen J.M..  2022.  A Gaussian mixture classifier model to differentiate respiratory symptoms using phonated /ɑː/ sounds. The 18th Australasian International Conference on Speech Science and Technology (SST).

• Google Scholar
• BibTeX

ahsounds.pdf (1018.01 KB)

Cheuk K.W., Choi K., Kong Q., Li B., Won M., Hung A., Wang J.-C., Herremans D..  2022.  Jointist: Joint Learning for Multi-instrument Transcription and Its Applications.

• Google Scholar
• BibTeX

2206.10805.pdf (427.51 KB)

Sockalingam N., Lo K., n KO., Herremans D., Raghunath N., Cancion H.GC, Kejun H., Leong H., Tan J., Nizharzharudin K. et al..  2022.  A white paper on cyberphysical learning. White paper, Singapore University of Technology and Design.

• Google Scholar
• BibTeX

LSL_WhitePaper_Cyber-physical-Campus-Higher-Education.pdf (6.98 MB)

Sockalingam N., Lo K., n KO., Herremans D., Raghunath N., Cancion H.GC, Kejun H., Leong H., Tan J., Nizharzharudin K. et al..  2022.  A white paper on cyberphysical learning. White paper, Singapore University of Technology and Design.

• Google Scholar
• BibTeX

LSL_WhitePaper_Cyber-physical-Campus-Higher-Education.pdf (6.98 MB)

Lanzendörfer L.A., Lu T., Perraudin N., Herremans D., Wattenhofer R..  2024.  Coarse-to-Fine Text-to-Music Latent Diffusion. Audio Imagination: NeurIPS 2024 Workshop.

• Google Scholar
• BibTeX

Lanzendörfer L.A., Lu T., Perraudin N., Herremans D., Wattenhofer R..  2024.  Coarse-to-Fine Text-to-Music Latent Diffusion. Audio Imagination: NeurIPS 2024 Workshop.

• Google Scholar
• BibTeX

Lam P., Zhang H., Chen N.F, Sisman B., Herremans D..  2024.  SNIPER Training: Variable Sparsity Rate Training For Text-To-Speech. Proc. of IEEE Tencon, Singapore.

• Google Scholar
• BibTeX

2211.07283.pdf (435.22 KB)

Luo J., Yang X., Herremans D..  2025.  BandCondiNet: Parallel Transformers-based Conditional Popular Music Generation with Multi-View Features. Expert Systems with Applications. 130059

• Google Scholar
• BibTeX

2407.10462v2.pdf (2.6 MB)

Lanzendörfer L.A., Lu T., Perraudin N., Herremans D., Wattenhofer R..  2025.  Coarse-to-Fine Text-to-Music Latent Diffusion. Proceedings of ICASSP.

• Google Scholar
• BibTeX

Lanzendörfer L.A., Lu T., Perraudin N., Herremans D., Wattenhofer R..  2025.  Coarse-to-Fine Text-to-Music Latent Diffusion. Proceedings of ICASSP.

• Google Scholar
• BibTeX

Song M., Liu R., Wang X, Jiang Y, Xie P, Huang F, Zhou J, Herremans D., Poria S..  2025.  Demystifying deep search: a holistic evaluation with hint-free multi-hop questions and factorised metrics. arXiv:2510.05137.

• Google Scholar
• BibTeX

Herremans D., Low K.W..  2025.  Forecasting Bitcoin Volatility Spikes from Whale Transactions and Cryptoquant Data Using Synthesizer Transformer Models. IEEE Access. 13:117788-117807.

• Google Scholar
• BibTeX

SSRN-id4247684.pdf (5.05 MB)

Bhandari K., Chang S., Lu T., Enus F.R, Bradshaw L.B, Herremans D., Colton S..  2025.  ImprovNet: Generating Controllable Musical Improvisations with Iterative Corruption Refinement. Proceedings of IJCNN.

• Google Scholar
• BibTeX

Roy A., Liu R., Lu T., Herremans D..  2025.  JamendoMaxCaps: A Large Scale Music-caption Dataset with Imputed Metadata. Proceedings of IJCNN, Rome, Italy.

• Google Scholar
• BibTeX

Roy A., Liu R., Lu T., Herremans D..  2025.  JamendoMaxCaps: A Large Scale Music-caption Dataset with Imputed Metadata. Proceedings of IJCNN, Rome, Italy.

• Google Scholar
• BibTeX

Le D-V-T, Bigo L., Keller M., Herremans D..  2025.  Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Survey. ACM Computing Surveys.

• Google Scholar
• BibTeX

2402.17467.pdf (1.01 MB)

Lam P., Zhang H., Chen N.F, Sisman B., Herremans D..  2025.  PRESENT: Zero-Shot Text-to-Prosody Control. IEEE Signal Processing Letters.

• Google Scholar
• BibTeX

2408.06827v1.pdf (367.55 KB)

Sockalingam N., Lo K., Teo J., Wei C.C., Chow D., Herremans D., Jun M.L.M., Kurniawan O., Wang Y., Leong P.K.  2025.  Towards the future of education: cyber-physical learning. Discover Education. 4:1–16.

• Google Scholar
• BibTeX

Sockalingam N., Lo K., Teo J., Wei C.C., Chow D., Herremans D., Jun M.L.M., Kurniawan O., Wang Y., Leong P.K.  2025.  Towards the future of education: cyber-physical learning. Discover Education. 4:1–16.

• Google Scholar
• BibTeX

Liu R., Hung C.Y., Majumder N., Herremans D., Poria S..  2026.  JAM: A Tiny Flow-based Song Generator with Fine-grained Controllability and Aesthetic Alignment. Empirical Methods in Natural Language Processing (EMNLP).

• Google Scholar
• BibTeX

Liu R., Roy A., Herremans D..  2026.  Leveraging LLM Embeddings for Cross Dataset Label Alignment and Zero Shot Music Emotion Prediction. Conference on AI Music Creativity (AIMC).

• Google Scholar
• BibTeX

Song M., Pala T.D, Jin W., Zadeh A., Li C., Herremans D., Poria S..  2026.  Measuring and Mitigating Rapport Bias of Large Language Models under Multi-Agent Social Interactions. Proceedings of ICLR.

• Google Scholar
• BibTeX

Lu T., Geist C-M, Melechovsky J., Roy A., Herremans D..  2026.  MelodySim: Measuring Melody-aware Music Similarity for Plagiarism Detection. IEEE Tencon.

• Google Scholar
• BibTeX

Roy A, Liang J, Herremans D.  2026.  nnAudio 2: Overcoming Dynamic Compilation Barriers and Transform Inconsistencies. Conference on AI Music Creativity (AIMC).

• Google Scholar
• BibTeX