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Li Su 0004
Person information
- affiliation: Academia Sinica, Taipei, Taiwan
- affiliation (PhD 2012): National Taiwan University, Taipei, Taiwan
Other persons with the same name
- Li Su — disambiguation page
- Li Su 0001
— Tsinghua University, Department of Electronic Engineering, Beijing, China
- Li Su 0002
- Li Su 0003
- Li Su 0005
- Li Su 0006
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2020 – today
- 2024
- [j11]Yu-Fen Huang
MOSA: Music Motion With Semantic Annotation Dataset for Cross-Modal Music Processing. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4157-4170 (2024) - [i15]Yu-Fen Huang, Nikki Moran, Simon Coleman, Jon Kelly, Shun-Hwa Wei, Po-Yin Chen, Yun-Hsin Huang, Tsung-Ping Chen, Yu-Chia Kuo, Yu-Chi Wei, Chih-Hsuan Li, Da-Yu Huang, Hsuan-Kai Kao, Ting-Wei Lin, Li Su:
MOSA: Music Motion with Semantic Annotation Dataset for Cross-Modal Music Processing. CoRR abs/2406.06375 (2024) - [i14]Tzu-Yun Hung, Jui-Te Wu, Yu-Chia Kuo, Yo-Wei Hsiao, Ting-Wei Lin, Li Su:
A Study on Synthesizing Expressive Violin Performances: Approaches and Comparisons. CoRR abs/2406.18089 (2024) - [i13]Ying-Shuo Lee, Yueh-Po Peng, Jui-Te Wu, Ming Cheng, Li Su, Yi-Hsuan Yang:
Distortion Recovery: A Two-Stage Method for Guitar Effect Removal. CoRR abs/2407.16639 (2024) - 2023
- [c52]Tsung-Ping Chen, Li Su, Kazuyoshi Yoshii:
Learning Multifaceted Self-Similarity for Musical Structure Analysis. APSIPA ASC 2023: 165-172 - [c51]Vincent K. M. Cheung
Decoding Musical Pitch from Human Brain Activity with Automatic Voxel-Wise Whole-Brain FMRI Feature Selection. ICASSP 2023: 1-5 - [c50]Yo-Wei Hsiao, Tzu-Yun Hung, Tsung-Ping Chen, Li Su:
BPS-Motif: A Dataset for Repeated Pattern Discovery of Polyphonic Symbolic Music. ISMIR 2023: 281-288 - 2022
- [c49]Tsung-Ping Chen, Li Su:
Toward postprocessing-free neural networks for joint beat and downbeat estimation. ISMIR 2022: 27-35 - [c48]Jui-Te Wu, Jun-You Wang, Jyh-Shing Roger Jang, Li Su:
A unified model for zero-shot singing voice conversion and synthesis. ISMIR 2022: 809-816 - 2021
- [j10]Yu-Te Wu, Yin-Jyun Luo, Tsung-Ping Chen, I-Chieh Wei, Jui-Yang Hsu, Yi-Chin Chuang, Li Su:
Omnizart: A General Toolbox for Automatic Music Transcription. J. Open Source Softw. 6(68): 3391 (2021) - [j9]Tsung-Ping Chen, Li Su:
Attend to Chords: Improving Harmonic Analysis of Symbolic Music Using Transformer-Based Models. Trans. Int. Soc. Music. Inf. Retr. 4(1): 1-13 (2021) - [c47]Vincent K. M. Cheung
An Interactive Automatic Violin Fingering Recommendation Interface. AIVR 2021: 306-312 - [c46]I-Chieh Wei, Chih-Wei Wu, Li Su:
Improving Automatic Drum Transcription Using Large-Scale Audio-to-Midi Aligned Data. ICASSP 2021: 246-250 - [c45]Vincent K. M. Cheung, Hsuan-Kai Kao, Li Su:
Semi-supervised violin fingering generation using variational autoencoders. ISMIR 2021: 113-120 - [c44]Yo-Wei Hsiao, Li Su:
Learning note-to-note affinity for voice segregation and melody line identification of symbolic music data. ISMIR 2021: 285-292 - [c43]Jui-Yang Hsu, Li Su:
VOCANO: A note transcription framework for singing voice in polyphonic music. ISMIR 2021: 293-300 - [c42]Yi-Hsin Jen, Tsung-Ping Chen, Shih-Wei Sun, Li Su:
Positioning Left-hand Movement in Violin Performance: A System and User Study of Fingering Pattern Generation. IUI 2021: 208-212 - [c41]Kin Wai Cheuk
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data. ACM Multimedia 2021: 3918-3926 - [c40]Wei Tsung Lu, Meng-Hsuan Wu, Yuh-Ming Chiu, Li Su:
Actions Speak Louder than Listening: Evaluating Music Style Transfer based on Editing Experience. ACM Multimedia 2021: 3936-3944 - [i12]Yu-Te Wu, Yin-Jyun Luo, Tsung-Ping Chen, I-Chieh Wei, Jui-Yang Hsu, Yi-Chin Chuang, Li Su:
Omnizart: A General Toolbox for Automatic Music Transcription. CoRR abs/2106.00497 (2021) - [i11]Kin Wai Cheuk, Dorien Herremans
ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data. CoRR abs/2107.04954 (2021) - [i10]Wei Tsung Lu, Meng-Hsuan Wu, Yuh-Ming Chiu, Li Su:
Actions Speak Louder than Listening: Evaluating Music Style Transfer based on Editing Experience. CoRR abs/2110.12855 (2021) - 2020
- [j8]Yu-Te Wu, Berlin Chen, Li Su
Multi-Instrument Automatic Music Transcription With Self-Attention-Based Instance Segmentation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2796-2809 (2020) - [c39]Yi-Chin Chuang, Li Su:
Beat and Downbeat Tracking of Symbolic Music Data Using Deep Recurrent Neural Networks. APSIPA 2020: 346-352 - [c38]Chin-Yun Yu, Jing-Hua Lin, Li Su:
Harmonic Preserving Neural Networks for Efficient and Robust Multipitch Estimation. APSIPA 2020: 561-567 - [c37]Jun-Wei Liu, Hung-Yi Lin, Yu-Fen Huang, Hsuan-Kai Kao, Li Su:
Body Movement Generation for Expressive Violin Performance Applying Neural Networks. ICASSP 2020: 3787-3791 - [c36]Bao-Yun Liu, Yi-Hsin Jen, Shih-Wei Sun, Li Su, Pao-Chi Chang:
Multi-Modal Deep Learning-Based Violin Bowing Action Recognition. ICCE-TW 2020: 1-2 - [c35]Yu-Fen Huang, Jeng-I Liang, I-Chieh Wei, Li Su:
Joint analysis of mode and playing technique in Guqin performance with machine learning. ISMIR 2020: 85-92 - [c34]Sangeun Kum, Jing-Hua Lin, Li Su, Juhan Nam:
Semi-supervised learning using teacher-student models for vocal melody extraction. ISMIR 2020: 93-100 - [c33]Tsung-Ping Chen, Satoru Fukayama, Masataka Goto, Li Su:
Chord Jazzification: Learning Jazz Interpretations of Chord Symbols. ISMIR 2020: 360-367 - [c32]Hsuan-Kai Kao, Li Su:
Temporally Guided Music-to-Body-Movement Generation. ACM Multimedia 2020: 147-155 - [c31]Yuen-Jen Lin, Hsuan-Kai Kao, Yih-Chih Tseng, Ming Tsai, Li Su:
A Human-Computer Duet System for Music Performance. ACM Multimedia 2020: 772-780 - [c30]Cheng-Che Lee, Wan-Yi Lin, Yen-Ting Shih, Pei-Yi (Patricia) Kuo, Li Su:
Crossing You in Style: Cross-modal Style Transfer from Music to Visual Arts. ACM Multimedia 2020: 3219-3227 - [c29]Tsai-Jyun Fan, Chien-Yu Lu, Wei-Chen Chiu, Li Su, Che-Rung Lee:
Timbre-enhanced Multi-modal Music Style Transfer with Domain Balance Loss. TAAI 2020: 102-107 - [i9]Yuen-Jen Lin, Hsuan-Kai Kao, Yih-Chih Tseng, Ming Tsai, Li Su:
A Human-Computer Duet System for Music Performance. CoRR abs/2009.07816 (2020) - [i8]Hsuan-Kai Kao, Li Su:
Temporally Guided Music-to-Body-Movement Generation. CoRR abs/2009.08015 (2020) - [i7]Cheng-Che Lee, Wan-Yi Lin, Yen-Ting Shih, Pei-Yi (Patricia) Kuo, Li Su:
Crossing You in Style: Cross-modal Style Transfer from Music to Visual Arts. CoRR abs/2009.08083 (2020) - [i6]Yin-Jyun Luo, Yuen-Jen Lin, Li Su:
Toward Expressive Singing Voice Correction: On Perceptual Validity of Evaluation Metrics for Vocal Melody Extraction. CoRR abs/2010.12196 (2020)
2010 – 2019
- 2019
- [c28]Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su
Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer. AAAI 2019: 1061-1068 - [c27]Tsung-Han Hsieh, Li Su
A Streamlined Encoder/decoder Architecture for Melody Extraction. ICASSP 2019: 156-160 - [c26]Yu-Te Wu, Berlin Chen, Li Su
Polyphonic Music Transcription with Semantic Segmentation. ICASSP 2019: 166-170 - [c25]Yu-Fen Huang, Tsung-Ping Chen, Nikki Moran, Simon Coleman, Li Su:
Identifying Expressive Semantics in Orchestral Conducting Kinematics. ISMIR 2019: 115-122 - [c24]Tsung-Ping Chen, Li Su:
Harmony Transformer: Incorporating Chord Segmentation into Harmony Recognition. ISMIR 2019: 259-267 - [c23]I-Chieh Wei, Chih-Wei Wu, Li Su:
Generating Structured Drum Pattern Using Variational Autoencoder and Self-similarity Matrix. ISMIR 2019: 847-854 - [c22]Zih-Sing Fu, Li Su:
Hierarchical Classification Networks for Singing Voice Segmentation and Transcription. ISMIR 2019: 900-907 - [i5]Chin-Yun Yu, Li Su:
Multi-layered Cepstrum for Instantaneous Frequency Estimation. CoRR abs/1902.00539 (2019) - 2018
- [j7]Hsueh-Wei Liao
Monaural Source Separation Using Ramanujan Subspace Dictionaries. IEEE Signal Process. Lett. 25(8): 1156-1160 (2018) - [c21]Wei Tsung Lu, Li Su
Deep Learning Models for Melody Perception: An Investigation on Symbolic Music Data. APSIPA 2018: 1620-1625 - [c20]Tsung-Ping Chen, Li Su
The Musical Schemagram: Time-scale Visualization of Repeated Patterns in Music. APSIPA 2018: 1642-1648 - [c19]Chin-Yun Yu, Li Su
Multi-Layered Cepstrum for Instantaneous Frequency Estimation. GlobalSIP 2018: 276-280 - [c18]Yin-Jyun Luo, Ming-Tso Chen, Tai-Shih Chi, Li Su
Singing Voice Correction Using Canonical Time Warping. ICASSP 2018: 156-160 - [c17]Li Su
Vocal Melody Extraction Using Patch-Based CNN. ICASSP 2018: 371-375 - [c16]Yu-Te Wu, Berlin Chen, Li Su
Automatic Music Transcription Leveraging Generalized Cepstral Features and Deep Learning. ICASSP 2018: 401-405 - [c15]Tsung-Ping Chen, Li Su:
Functional Harmony Recognition of Symbolic Music Data with Multi-task Recurrent Neural Networks. ISMIR 2018: 90-97 - [c14]Wei Tsung Lu, Li Su:
Vocal Melody Extraction with Semantic Segmentation and Audio-symbolic Domain Transfer Learning. ISMIR 2018: 521-528 - [c13]Yin-Jyun Luo, Li Su:
Learning Domain-Adaptive Latent Representations of Music Signals Using Variational Autoencoders. ISMIR 2018: 653-660 - [c12]Wei Tsung Lu, Li Su:
Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model. ISMIR 2018: 740-746 - [c11]I-Chieh Wei, Li Su
Online Music Performance Tracking Using Parallel Dynamic Time Warping. MMSP 2018: 1-6 - [i4]Li Su:
Vocal melody extraction using patch-based CNN. CoRR abs/1804.09202 (2018) - [i3]Chien-Yu Lu, Min-Xin Xue, Chia-Che Chang, Che-Rung Lee, Li Su:
Play as You Like: Timbre-enhanced Multi-modal Music Style Transfer. CoRR abs/1811.12214 (2018) - 2017
- [j6]Li Su, Hau-Tieng Wu:
Extract Fetal ECG from Single-Lead Abdominal ECG by De-Shape Short Time Fourier Transform and Nonlocal Median. Frontiers Appl. Math. Stat. 3: 2 (2017) - [c10]Li Su
Between homomorphic signal processing and deep neural networks: Constructing deep algorithms for polyphonic music transcription. APSIPA 2017: 884-891 - [c9]Lufei Gao, Li Su
Polyphonic piano note transcription with non-negative matrix factorization of differential spectrogram. ICASSP 2017: 291-295 - [c8]Chih Yi Kuan, Li Su
Multi-pitch streaming of interwoven streams. ICASSP 2017: 311-315 - [c7]Shih-Yang Su, Cheng-Kai Chiu, Li Su
Automatic conversion of Pop music into chiptunes for 8-bit pixel art. ICASSP 2017: 411-415 - [i2]Li Su:
Between Homomorphic Signal Processing and Deep Neural Networks: Constructing Deep Algorithms for Polyphonic Music Transcription. CoRR abs/1706.08231 (2017) - 2016
- [j5]Ping-Keng Jao, Li Su
Monaural Music Source Separation Using Convolutional Sparse Coding. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 2158-2170 (2016) - [c6]Mu-Heng Yang, Li Su
Highlighting root notes in chord recognition using cepstral features and multi-task learning. APSIPA 2016: 1-8 - [i1]Li Su, Hau-Tieng Wu:
Minimum-latency Time-frequency Analysis Using Asymmetric Window Functions. CoRR abs/1606.09047 (2016) - 2015
- [j4]Che-Yuan Liang, Li Su
Musical Onset Detection Using Constrained Linear Reconstruction. IEEE Signal Process. Lett. 22(11): 2142-2146 (2015) - [j3]Li Su
Combining Spectral and Temporal Representations for Multipitch Estimation of Polyphonic Music. IEEE ACM Trans. Audio Speech Lang. Process. 23(10): 1600-1612 (2015) - [c5]Li Su
Escaping from the Abyss of Manual Annotation: New Methodology of Building Polyphonic Datasets for Automatic Music Transcription. CMMR 2015: 309-321 - [c4]Yin-Jyun Luo, Li Su, Yi-Hsuan Yang, Tai-Shih Chi:
Detection of Common Mistakes in Novice Violin Playing. ISMIR 2015: 316-322 - 2014
- [j2]Li Su
Sparse modeling of magnitude and phase-derived spectra for playing technique classification. IEEE ACM Trans. Audio Speech Lang. Process. 22(12): 2122-2132 (2014) - [j1]Li Su
A Systematic Evaluation of the Bag-of-Frames Representation for Music Information Retrieval. IEEE Trans. Multim. 16(5): 1188-1200 (2014) - [c3]Li-Fan Yu, Li Su
Sparse cepstral codes and power scale for instrument identification. ICASSP 2014: 7460-7464 - 2013
- [c2]Ping-Keng Jao, Li Su
Analyzing the dictionary properties and sparsity constraints for a dictionary-based music genre classification system. APSIPA 2013: 1-8 - [c1]Chin-Chia Michael Yeh, Li Su
Dual-layer bag-of-frames model for music genre classification. ICASSP 2013: 246-250
Coauthor Index
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