Timothy Tsai


2021

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Aligning Unsynchronized Part Recordings to a Full Mix Using Iterative Subtractive Alignment
Daniel Yang | Kevin Ji | Timothy Tsai
Proceedings of the 22nd International Society for Music Information Retrieval Conference, ISMIR 2021, Online, November 7-12, 2021

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Composer Classification With Cross-Modal Transfer Learning and Musically-Informed Augmentation
Daniel Yang | Timothy Tsai
Proceedings of the 22nd International Society for Music Information Retrieval Conference, ISMIR 2021, Online, November 7-12, 2021

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Piano Sheet Music Identification Using Marketplace Fingerprinting
Kevin Ji | Daniel Yang | Timothy Tsai
Proceedings of the 22nd International Society for Music Information Retrieval Conference, ISMIR 2021, Online, November 7-12, 2021

2020

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Camera-Based Piano Sheet Music Identification
Daniel Yang | Timothy Tsai
Proceedings of the 21th International Society for Music Information Retrieval Conference, ISMIR 2020, Montreal, Canada, October 11-16, 2020

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Composer Style Classification of Piano Sheet Music Images Using Language Model Pretraining
Timothy Tsai | Kevin Ji
Proceedings of the 21th International Society for Music Information Retrieval Conference, ISMIR 2020, Montreal, Canada, October 11-16, 2020

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Improved Handling of Repeats and Jumps in Audio–Sheet Image Synchronization
Mengyi Shan | Timothy Tsai
Proceedings of the 21th International Society for Music Information Retrieval Conference, ISMIR 2020, Montreal, Canada, October 11-16, 2020

2019

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MIDI Passage Retrieval Using Cell Phone Pictures of Sheet Music
Daniel Yang | Thitaree Tanprasert | Teerapat Jenrungrot | Mengyi Shan | Timothy Tsai
Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, Delft, The Netherlands, November 4-8, 2019

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MIDI-Sheet Music Alignment Using Bootleg Score Synthesis
Thitaree Tanprasert | Teerapat Jenrungrot | Meinard Müller | Timothy Tsai
Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, Delft, The Netherlands, November 4-8, 2019