Wang, Y., Wei, W., and Wang, Y., (2023, June). Phonation Mode Detection in Singing: A Singer Adapted Model, in ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023). IEEE.

Dai, S., Ma, X., Wang, Y. and Dannenberg, R. B. (2023). Personalized Popular Music Generation Using Imitation and Structure. Journal of New Music Research, pp.1-17.

Wei, W.*, Huang, H.*, Gu, X., Wang, H., and Wang, Y., (2022). Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization. Transactions on Machine Learning Research (12/2022).

Wu, X.*, Huang, H.*, Ding, Y., Wang, H., Wang, Y., and Xu, Q., (2023, February). FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation, in Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023). [video]

Huang, H., Gu, X., Wang H., Xiao C., Liu H., and Wang, Y., (2022, December). Extrapolative Continuous-time Bayesian Neural Network for Fast Training-free Test-time Adaptation, in Proceedings of Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022 (NeurIPS 2022). [video]

Ou, L.*, Gu, X.*, and Wang, Y., (2022, December). Transfer Learning of wav2vec 2.0 for Automatic Lyric Transcription, in Proceedings of the 23rd International Society for Music Information Retrieval Conference (ISMIR 2022).

Ma, X., Liu, X., Zhang, B., and Wang, Y., (2022, December). Robust Melody Track Identification in Symbolic Music, in Proceedings of the 23rd International Society for Music Information Retrieval Conference (ISMIR 2022).

Zhao, J., Xia, G., and Wang, Y., (2022, December). Beat Transformer: Demixed Beat and Downbeat Tracking with Dilated Self-Attention, in Proceedings of the 23rd International Society for Music Information Retrieval Conference (ISMIR 2022).

Zhao, J., Xia, G., and Wang, Y., (2022, December). Domain Adversarial Traning on Conditional Variational Auto-Encoder for Controllable Music Generation, in Proceedings of the 23rd International Society for Music Information Retrieval Conference (ISMIR 2022).

Gu, X.*, Ou, L.*, Ong, D., and Wang, Y., (2022, October). MM-ALT: A Multimodal Automatic Lyric Transcription System, in 2022 ACM Multimedia Conference (MM’22), October 10-14, 2022, Lisbon, Portugal. ACM. (Top Paper Award) [demo]

Ma, X., Wang, Y., and Wang, Y., (2022, October). Content based User Preference Modeling in Music Generation, in 2022 ACM Multimedia Conference (MM’22), October 10-14, 2022, Lisbon, Portugal. ACM. [demo 1] [demo 2]

Ou, L., Guo, Z., Benetos, E., Han, J., & Wang, Y. (2022, May). Exploring Transformer’s Potential on Automatic Piano Transcription, in ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022) (pp. 776-780). IEEE.

Ma, X., Wang, Y., Kan, M. Y., and Lee, W. S., (2021, October). AI-Lyricist: Generating Music and Vocabulary Constrained Lyrics, in 2021 ACM Multimedia Conference (MM ’21), October 20-24, 2021, Virtual Event, China. ACM. [lyrics demo] [synthsis demo]

Huang, H., Liu, H., Wang, H., Xiao, C., & Wang, Y. (2021, July). STRODE: Stochastic Boundary Ordinary Differential Equation, in International Conference on Machine Learning (ICML-2021), 4435-4445. [code] [slides]

Huang, H., Xue, F., Wang, H. & Wang, Y. (2020, July). Deep Graph Random Process for Relational-Thinking-Based Speech Recognition, in Proceedings of the 37th International Conference on Machine Learning (ICML-20). [video] [supplementary] [slides]

Wei, W., Zhu, H., Benetos, E., & Wang, Y. (2020, May). A-CRNN: A Domain Adaptation Model for Sound Event Detection, in ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 276-280). IEEE.

[Song Intelligibility Data] Ibrahim, K. M., Grunberg, D., Agres, K., Gupta, C., & Wang, Y. (2017). Intelligibility of sung lyrics: A pilot study, in Proceedings of the 18th International Society for Music Information Retrieval Conference, ISMIR 2017, Suzhou, China, October 23-27, 2017,  2017, pp. 686-693. [data]

[LyricFind Corpus] Ellis, R. J., Xing, Z., Fang, J., & Wang, Y. (2015). Quantifying Lexical Novelty in Song Lyrics. in Proceedings of the 16th International Society for Music Information Retrieval Conference, ISMIR 2015, Málaga, Spain, October 26-30, 2015,  2015, pp. 694-700. [data]

[NUS-48E Sung and Spoken Lyrics Corpus] Duan, Z., Fang, H., Li, B., Sim, K. C., & Wang, Y. (2013, October). The NUS sung and spoken lyrics corpus: A quantitative comparison of singing and speech. in Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013 Asia-Pacific (pp. 1-9). IEEE. [data]

[2022.12] SLIONS-Kids: AI-empowered language learning mobile application. [video]

[2022.11] "Sound and Music Computing for Human Health and Potential" (SMC4HHP) Theme Seminar & Concert Event. [videos]

[2022.06] Our lab member Yuchen Wang won Outstanding Computing Project Prize from NUS School of Computing. [NUS News]

[2021.11] APSIPA Distinguished Lecture 1: Neuroscience-Inspired Sound and Music Computing (SMC) for Bilingualism and Human Potential – Wang Ye [video]

[2021.11] NUS Sound and Music Computing Lab Showcase at ISMIR 2021 [video]

[2021.11] Special Session on MIR for Human Health and Potential at ISMIR2021 [video]

[2021.08] Wang, Y., Keynote Speech at Computing Research Week Aug 2021, “Music & Wearable Computing for Health and Learning: a Decade-long Exploration on a Neuroscience-inspired Interdisciplinary Approach”, National University of Singapore [slides] [video]

[2019.04] NUS Computing Music Concert [video]

[2018.08] Sound & Music Computing Concert [video]