Chua P., Makris D., Agres K., Roig G., Herremans D..  2022.  Predicting emotion from music videos: exploring the relative contribution of visual and auditory information to affective responses. Arxiv preprint.

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Huang J, Chia YKen, Yu S, Yee K, Küster D, Krumhuber EG, Herremans D, Roig G..  2022.  Single Image Video Prediction with Auto-Regressive GANs. Sensors. 22:3533.

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Kwan Y.H., Cheuk K.W., Herremans D..  2022.  Understanding Audio Features via Trainable Basis Functions. Arxiv preprint.

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2204.11437.pdf (7.36 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.

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

Ong J., Herremans D..  2023.  Constructing Time-Series Momentum Portfolios with Deep Multi-Task Learning. Expert Systems with Applications. 230(120587)

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2306.13661.pdf (707.95 KB)

Cheuk K.W., Sawata R, Uesaka T, Murata N, Takahashi N, Takahashi S, Herremans D., Mitsufuji Y.  2023.  DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability. ICASSP.

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diffroll.pdf (2.2 MB)

Guo Z, Kang J., Herremans D..  2023.  A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling. Proceedings of the 37th AAAI Conference on Artificial Intelligence.

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2212.00973.pdf (1.74 MB)

Melechovsky J., Mehrish A., Herremans D., Sisman B..  2023.  Learning accent representation with multi-level VAE towards controllable speech synthesis. IEEE Spoken Language Technology (SLT) Workshop.

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Koh E., Cheuk K.W., Heung K.Y., Agres K., Herremans D..  2023.  MERP: A Music Dataset with Emotion Ratings and Raters’ Profile Information. Sensors - Intelligent Sensors. 23(1)

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sensors-23-00382 (2).pdf (1.21 MB)

Zou Y., Herremans D..  2023.  A Multimodal Model with Twitter Finbert Embeddings for Extreme Price Movement Prediction of Bitcoin. Expert Systems with Applications.

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2206.00648.pdf (3.26 MB)

Melechovsky J., Mehrish A., Sisman B., Herremans D..  2024.  Accent Conversion in Text-To-Speech Using Multi-Level VAE and Adversarial Training. Proc. of IEEE Tencon, Singapore.

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Melechovsky J., Mehrish A., Sisman B., Herremans D..  2024.  Accented Text-to-Speech Synthesis with a Conditional Variational Autoencoder. Proc. of IEEE Tencon, Singapore.

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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.

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Melechovsky J., Mehrish A., Sisman B., Herremans D..  2024.  DART: Disentanglement of Accent and Speaker Representation in Multispeaker Text-to-Speech. Audio Imagination: NeurIPS 2024 Workshop.

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Ong J., Herremans D..  2024.  DeepUnifiedMom: Unified Time-series Momentum Portfolio Construction via Multi-Task Learning with Multi-Gate Mixture of Experts. arXiv:2406.08742.

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2406.08742v1.pdf (1.06 MB)

Wang K., Herremans D..  2024.  DisfluencySpeech -- Single-Speaker Conversational Speech Dataset with Paralanguage. Proc. of IEEE Tencon, Singapore.

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Chow D., Herremans D..  2024.  Gamification and skills tree. Trends and Foresight Report on Cyber-Physical Learning.

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Melechovsky J., Roy A., Herremans D..  2024.  MidiCaps — A large-scale MIDI dataset with text captions. ISMIR.

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2406.02255v1.pdf (699.83 KB)

Chopra A., Roy A., Herremans D..  2024.  MIRFLEX: Music Information Retrieval Feature Library for Extraction. ISMIR, Late Breaking Demos.

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2411.00469v1.pdf (89.86 KB)

Ong J..  2024.  Modern Portfolio Construction with Advanced Deep Learning Models. SUTD. PhD

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Joel_Ong_Thesis.pdf (3.44 MB)

Melechovsky J, Guo Z, Ghosal D, Majumder N, Herremans D, Poria S.  2024.  Mustango: Toward Controllable Text-to-Music Generation. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). pages 8293–8316.

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2311.08355 (1).pdf (11.38 MB)

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.

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2211.07283.pdf (435.22 KB)

Kang J, Poria S, Herremans D..  2024.  Video2Music: Suitable Music Generation from Videos using an Affective Multimodal Transformer model. Expert Systems with Applications.

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2311.00968.pdf (5.51 MB)

Melechovsky J..  2025.  Analysis and Synthesis of Audio with AI: from Neurological Disease to Accented Speech and Music.

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thesis_Jan.pdf (26.4 MB)

Kang J., Herremans D..  2025.  Are we there yet? A brief survey of Music Emotion Prediction Datasets, Models and Outstanding Challenges IEEE Transactions on Affective Computing.

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2406.08809v1.pdf (156.19 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

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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.

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Tripathi A., Patle V., Jain A., Pundir A., Menon S., A. Singh K, Herremans D..  2025.  End-to-End Text-to-SQL with Dataset Selection: Leveraging LLMs for Adaptive Query Generation. Proceedings of IJCNN, Rome, Italy.

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Guo R, Herremans D..  2025.  An exploration of controllability in symbolic music infilling. IEEE Access.

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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.

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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, Rome, Italy.

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

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Liu R., Roy A., Herremans D..  2025.  Leveraging LLM Embeddings for Cross Dataset Label Alignment and Zero Shot Music Emotion Prediction.

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Song M., Pala T.D, Jin W., Zadeh A., Li C., Herremans D., Poria S..  2025.  LLMs Can't Handle Peer Pressure: Crumbling under Multi-Agent Social Interactions. arXiv:2508.18321.

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Lu T., Geist C-M, Melechovsky J., Roy A., Herremans D..  2025.  MelodySim: Measuring Melody-aware Music Similarity for Plagiarism Detection. arXiv:2505.20979.

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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.

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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.

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2408.06827v1.pdf (367.55 KB)

Wei M., Modrzejewski M., Sivaraman A., Herremans D..  2025.  Prevailing Research Areas for Music AI in the Era of Foundation Models.

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Herremans D..  2025.   Royalties in the age of AI: paying artists for AI-generated songs. WIPO Magazine.

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Melechovsky J., Mehrish A., Roy A., Herremans D..  2025.  SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering. arXiv:2508.03448.

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2508.03448v2.pdf (3.31 MB)

Chopra A., Roy A., Herremans D..  2025.  SonicVerse: Multi-Task Learning for Music Feature-Informed Captioning. Proceedings of the 6th Conference on AI Music Creativity (AIMC 2025), Brussels, Belgium, September 10th - 12th, 2025.

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Bhandari K., Roy A., Wang K., Puri G., Colton S., Herremans D..  2025.  Text2midi: Generating Symbolic Music from Captions. Proceedings of AAAI, Philadelphia.

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2412.16526v2.pdf (569.51 KB)

Roy A., Puri G., Herremans D..  2025.  Text2midi-InferAlign: Improving Symbolic Music Generation with Inference-Time Alignment. arXiv:2505.12669.

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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.

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Kang J., Herremans D..  2025.  Towards Unified Music Emotion Recognition across Dimensional and Categorical Models.

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Herremans D., Roy A..  2026.  Aligning Generative Music AI with Human Preferences: Methods and Challenges. Proceedings of AAAI, senior member track.

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