Yin-Jyun Luo

According to our database, Yin-Jyun Luo authored at least 16 papers between 2014 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Towards Robust Unsupervised Disentanglement of Sequential Data - A Case Study Using Music Audio.

Yin-Jyun Luo, Sebastian Ewert, Simon Dixon

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Omnizart: A General Toolbox for Automatic Music Transcription.

Yu-Te Wu, Yin-Jyun Luo, Tsung-Ping Chen, I-Chieh Wei, Jui-Yang Hsu, Yi-Chin Chuang, Li Su

J. Open Source Softw., 2021

Revisiting the Onsets and Frames Model with Additive Attention.

Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans

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.

Yin-Jyun Luo, Yuen-Jen Lin, Li Su

CoRR, 2020

Generative Modelling for Controllable Audio Synthesis of Expressive Piano Performance.

Hao Hao Tan, Yin-Jyun Luo, Dorien Herremans

CoRR, 2020

Unsupervised Disentanglement of Pitch and Timbre for Isolated Musical Instrument Sounds.

Yin-Jyun Luo, Kin Wai Cheuk, Tomoyasu Nakano, Masataka Goto, Dorien Herremans

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

Regression-based Music Emotion Prediction using Triplet Neural Networks.

Kin Wai Cheuk, Yin-Jyun Luo, Balamurali B. T., Gemma Roig, Dorien Herremans

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.

Kin Wai Cheuk, Yin-Jyun Luo, Emmanouil Benetos, Dorien Herremans

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Singing Voice Conversion with Disentangled Representations of Singer and Vocal Technique Using Variational Autoencoders.

Yin-Jyun Luo, Chin-Cheng Hsu, Kat Agres, Dorien Herremans

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.

Yin-Jyun Luo, Chin-Chen Hsu, Kat Agres, Dorien Herremans

CoRR, 2019

Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders.

Yin-Jyun Luo, Kat Agres, Dorien Herremans

Proceedings of the 20th International Society for Music Information Retrieval Conference, 2019

Untangling indices of emotion in music using neural networks.

Dorien Herremans, Kin Wai Cheuk, Yin-Jyun Luo, Kat Agres

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Learning Domain-Adaptive Latent Representations of Music Signals Using Variational Autoencoders.

Yin-Jyun Luo, Li Su

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Singing Voice Correction Using Canonical Time Warping.

Yin-Jyun Luo, Ming-Tso Chen, Tai-Shih Chi, Li Su

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2015

Detection of Common Mistakes in Novice Violin Playing.

Yin-Jyun Luo, Li Su, Yi-Hsuan Yang, Tai-Shih Chi

Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015

2014

Singing Voice Separation Using Spectro-Temporal Modulation Features.

Frederick Z. Yen, Yin-Jyun Luo, Tai-Shih Chi

Proceedings of the 15th International Society for Music Information Retrieval Conference, 2014