Yin-Jyun Luo
According to our database1,
Yin-Jyun Luo
authored at least 19 papers
between 2014 and 2024.
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Bibliography
2024
DisMix: Disentangling Mixtures of Musical Instruments for Source-level Pitch and Timbre Manipulation.
CoRR, 2024
Unsupervised Pitch-Timbre Disentanglement of Musical Instruments Using a Jacobian Disentangled Sequential Autoencoder.
Proceedings of the IEEE International Conference on Acoustics, 2024
Posterior Variance-Parameterised Gaussian Dropout: Improving Disentangled Sequential Autoencoders for Zero-Shot Voice Conversion.
Proceedings of the IEEE International Conference on Acoustics, 2024
2022
Towards Robust Unsupervised Disentanglement of Sequential Data - A Case Study Using Music Audio.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
J. Open Source Softw., 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Toward Expressive Singing Voice Correction: On Perceptual Validity of Evaluation Metrics for Vocal Melody Extraction.
CoRR, 2020
Generative Modelling for Controllable Audio Synthesis of Expressive Piano Performance.
CoRR, 2020
Unsupervised Disentanglement of Pitch and Timbre for Isolated Musical Instrument Sounds.
Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
The Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy.
Proceedings of the 25th International Conference on Pattern Recognition, 2020
Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders.
CoRR, 2019
Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders.
Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
2018
Learning Domain-Adaptive Latent Representations of Music Signals Using Variational Autoencoders.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2015
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015
2014
Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014