Li Su
2021
Attend to Chords: Improving Harmonic Analysis of Symbolic Music Using Transformer-Based Models
Tsung-Ping Chen
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Li Su
2021 Volume 4 Issue 1
VOCANO: A note transcription framework for singing voice in polyphonic music
Jui-Yang Hsu
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Li Su
Proceedings of the 22nd International Society for Music Information Retrieval Conference, ISMIR 2021, Online, November 7-12, 2021
Learning note-to-note affinity for voice segregation and melody line identification of symbolic music data
Yo-Wei Hsiao
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Li Su
Proceedings of the 22nd International Society for Music Information Retrieval Conference, ISMIR 2021, Online, November 7-12, 2021
Semi-supervised violin fingering generation using variational autoencoders
Vincent K. M. Cheung
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Hsuan-Kai Kao
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Li Su
Proceedings of the 22nd International Society for Music Information Retrieval Conference, ISMIR 2021, Online, November 7-12, 2021
2020
Chord Jazzification: Learning Jazz Interpretations of Chord Symbols
Tsung-Ping Chen
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Satoru Fukayama
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Masataka Goto
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Li Su
Proceedings of the 21th International Society for Music Information Retrieval Conference, ISMIR 2020, Montreal, Canada, October 11-16, 2020
Semi-supervised learning using teacher-student models for vocal melody extraction
Sangeun Kum
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Jing-Hua Lin
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Li Su
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Juhan Nam
Proceedings of the 21th International Society for Music Information Retrieval Conference, ISMIR 2020, Montreal, Canada, October 11-16, 2020
Joint analysis of mode and playing technique in Guqin performance with machine learning
Yu-Fen Huang
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Jeng-I Liang
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I-Chieh Wei
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Li Su
Proceedings of the 21th International Society for Music Information Retrieval Conference, ISMIR 2020, Montreal, Canada, October 11-16, 2020
2019
Hierarchical Classification Networks for Singing Voice Segmentation and Transcription
Zih-Sing Fu
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Li Su
Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, Delft, The Netherlands, November 4-8, 2019
Generating Structured Drum Pattern Using Variational Autoencoder and Self-similarity Matrix
I-Chieh Wei
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Chih-Wei Wu
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Li Su
Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, Delft, The Netherlands, November 4-8, 2019
Harmony Transformer: Incorporating Chord Segmentation into Harmony Recognition
Tsung-Ping Chen
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Li Su
Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, Delft, The Netherlands, November 4-8, 2019
Identifying Expressive Semantics in Orchestral Conducting Kinematics
Yu-Fen Huang
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Tsung-Ping Chen
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Nikki Moran
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Simon Coleman
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Li Su
Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, Delft, The Netherlands, November 4-8, 2019
2018
Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model
Wei Tsung Lu
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Li Su
Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018, Paris, France, September 23-27, 2018
Learning Domain-Adaptive Latent Representations of Music Signals Using Variational Autoencoders
Yin-Jyun Luo
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Li Su
Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018, Paris, France, September 23-27, 2018
Vocal Melody Extraction with Semantic Segmentation and Audio-symbolic Domain Transfer Learning
Wei Tsung Lu
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Li Su
Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018, Paris, France, September 23-27, 2018
Functional Harmony Recognition of Symbolic Music Data with Multi-task Recurrent Neural Networks
Tsung-Ping Chen
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Li Su
Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018, Paris, France, September 23-27, 2018
2015
Detection of Common Mistakes in Novice Violin Playing
Yin-Jyun Luo
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Li Su
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Yi-Hsuan Yang
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Tai-Shih Chi
Proceedings of the 16th International Society for Music Information Retrieval Conference, ISMIR 2015, Málaga, Spain, October 26-30, 2015
Co-authors
- Tsung-Ping Chen 5
- Wei Tsung Lu 2
- Yin-Jyun Luo 2
- Yu-Fen Huang 2
- I-Chieh Wei 2
- show all...