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Yin-Jyun Luo
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Cited by
Year
Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders
YJ Luo, K Agres, D Herremans
ISMIR, 2019
522019
Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders
YJ Luo, CC Hsu, K Agres, D Herremans
2020 IEEE International Conference on Acoustics, Speech and Signal …, 2020
462020
Regression-based music emotion prediction using triplet neural networks
KW Cheuk, YJ Luo, BT Balamurali, G Roig, D Herremans
2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020
282020
Omnizart: A General Toolbox for Automatic Music Transcription
YT Wu, YJ Luo, TP Chen, I Wei, JY Hsu, YC Chuang, L Su
arXiv preprint arXiv:2106.00497, 2021
252021
Unsupervised Disentanglement of Pitch and Timbre for Isolated Musical Instrument Sounds
YJ Luo, KW Cheuk, T Nakano, M Goto, D Herremans
ISMIR, 2020
212020
The effect of spectrogram reconstruction on automatic music transcription: An alternative approach to improve transcription accuracy
KW Cheuk, YJ Luo, E Benetos, D Herremans
2020 25th International Conference on Pattern Recognition (ICPR), 9091-9098, 2021
192021
Revisiting the Onsets and Frames Model with Additive Attention
KW Cheuk, YJ Luo, E Benetos, D Herremans
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
162021
Detection of Common Mistakes in Novice Violin Playing.
YJ Luo, L Su, YH Yang, TS Chi
ISMIR, 316-322, 2015
162015
Singing voice separation using spectro-temporal modulation features
F Yen, YJ Luo, TS Chi
ISMIR, 617-622, 2014
162014
Singing voice correction using canonical time warping
YJ Luo, MT Chen, TS Chi, L Su
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
132018
Learning Domain-Adaptive Latent Representations of Music Signals Using Variational Autoencoders.
YJ Luo, L Su
ISMIR, 653-660, 2018
112018
Generative Modelling for Controllable Audio Synthesis of Expressive Piano Performance
HH Tan, YJ Luo, D Herremans
arXiv preprint arXiv:2006.09833, 2020
92020
Towards Robust Unsupervised Disentanglement of Sequential Data--A Case Study Using Music Audio
YJ Luo, S Ewert, S Dixon
International Joint Conference on Artificial Intelligence, 2022
72022
Toward Expressive Singing Voice Correction: On Perceptual Validity of Evaluation Metrics for Vocal Melody Extraction
YJ Luo, YJ Lin, L Su
arXiv preprint arXiv:2010.12196, 2020
42020
Posterior Variance-Parameterised Gaussian Dropout: Improving Disentangled Sequential Autoencoders for Zero-Shot Voice Conversion
YJ Luo, S Dixon
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
Unsupervised Pitch-Timbre Disentanglement of Musical Instruments Using a Jacobian Disentangled Sequential Autoencoder
YJ Luo, S Ewert, S Dixon
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
On the Use of Synthesized Datasets and Transformer Adaptors for Musical Instrument Recognition
K Tanaka, YJ Luo, KW Cheuk, K Yoshii, S Morishima, S Dixon
Ismir 2023 Hybrid Conference, 2023
2023
SPEAKER AND SINGER VERIFICATION USING A DISENTANGLED VOCAL TIMBRE REPRESENTATION
YJ Luo, S Dixon
Ismir 2023 Hybrid Conference, 2023
2023
The effect of spectrogram reconstructions on automatic music transcription: an alternative approach to improve transcription accuracy
E Benetos, Y Luo, KW Cheuk, D Herremans
2021
Untangling indices of emotion in music using neural networks.
D Herremans, KW Cheuk, YJ Luo, K Agres
CogSci, 3476, 2019
2019
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Articles 1–20