Publications
Export 21 results:
Author Title Type [ Year
] Filters: First Letter Of Last Name is H [Clear All Filters]
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2023. MERP: A Music Dataset with Emotion Ratings and Raters’ Profile Information. Sensors. 23(382):1-23.
(1.21 MB)
(1.21 MB).
2023. MERP: A Music Dataset with Emotion Ratings and Raters’ Profile Information. Sensors. 23(382):1-23. (1.21 MB)
(1.21 MB).
2021. Music, Computing, and Health: A roadmap for the current and future roles of music technology for health care and well-being. Music & Science. (4.07 MB)
(4.07 MB).
2021. Music, Computing, and Health: A roadmap for the current and future roles of music technology for health care and well-being. Music & Science. (4.07 MB)
(4.07 MB).
2021. Sen2Seq: A Conditional seq2seq Framework for Generating Lead Sheets with Sentiment. Proceedings of the International Joint Conference on Neural Networks (IJCNN).
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2020. Age dependent statistical learning trajectories reveal differences in information weighting. Psychology and Aging. (1.79 MB)
(1.79 MB).
2020. A dataset and classification model for Malay, Hindi, Tamil and Chinese music. Workshop on Machine Learning and Music (MML 2020), at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) conference.
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2020. The impact of Audio input representations on neural network based music transcription. Proceedings of the International Joint Conference on Neural Networks (IJCNN). (1.87 MB)
(1.87 MB).
2020. nnAudio: An on-the-fly GPU Audio toSpectrogram Conversion Toolbox Using 1D Convolutional Neural Networks. IEEE Access. 8:161981-162003. (6.65 MB)
(6.65 MB).
2020. Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders. 45th International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2020). (2.88 MB)
(2.88 MB).
2020. Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders. 45th International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP 2020). (2.88 MB)
(2.88 MB).
2019. The impact of musical structure on enjoyment and absorptive listening states in trance music. Music and Consciousness 2: Worlds, Practices, Modalities. Edited by Ruth Herbert, David Clarke, and Eric Clarke
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2019. Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders. ISMIR. (5.62 MB)
(5.62 MB).
2019. nnAudio: A PyTorch Audio Processing Tool Using 1D Convolution neural networks. ISMIR - Late Breaking Demo. (399.08 KB)
(399.08 KB).
2019. A novel music-based game with motion capture to support cognitive and motor function in the elderly. IEEE Conference on Games (CoG) 2019. (2.63 MB)
(2.63 MB).
2019. Statistical Learning Ability as a Measure of Cognitive Function. :1-7. (1004.22 KB)
(1004.22 KB).
2018. From Context to Concept: Exploring Semantic Relationships in Music with Word2Vec. Neural Computing and Applications. https://doi.org/10.1007/s00521-018-3923-1 (1.64 MB)
(1.64 MB).
2018. The Structure of Chord Progressions Influences Listeners’ Enjoyment and Absorptive States in EDM. International Conference on Music Perception and Cognition. (387.15 KB)
(387.15 KB).
2017. Harmonic Structure Predicts the Enjoyment of Uplifting Trance Music. Frontiers in Psychology. 7:1999. (1.15 MB)
(1.15 MB).
2017. Music and Motion-Detection: A Game Prototype for Rehabilitation and Strengthening in the Elderly. IEEE International Conference on Orange Technologies (ICOT 2017). (1.77 MB)
(1.77 MB).
2016. The Effect of Repetitive Structure on Enjoyment in Uplifting Trance Music. In Proceedings of the 14th International Conference for Music Perception and Cognition (ICMPC). :280-282. (139.27 KB)
(139.27 KB)