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2020 – today
- 2024
[j4]Shih-Lun Wu
, Chris Donahue, Shinji Watanabe, Nicholas J. Bryan:
Music ControlNet: Multiple Time-Varying Controls for Music Generation. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2692-2703 (2024)- [c11]Shih-Lun Wu, Xuankai Chang, Gordon Wichern, Jee-Weon Jung, François G. Germain, Jonathan Le Roux, Shinji Watanabe:
Improving Audio Captioning Models with Fine-Grained Audio Features, Text Embedding Supervision, and LLM Mix-Up Augmentation. ICASSP 2024: 316-320 - [i13]Fang-Duo Tsai, Shih-Lun Wu, Haven Kim, Bo-Yu Chen, Hao-Chung Cheng, Yi-Hsuan Yang:
Audio Prompt Adapter: Unleashing Music Editing Abilities for Text-to-Music with Lightweight Finetuning. CoRR abs/2407.16564 (2024) - [i12]Yinghao Ma, Anders Øland, Anton Ragni, Bleiz Macsen Del Sette, Charalampos Saitis, Chris Donahue, Chenghua Lin, Christos Plachouras, Emmanouil Benetos, Elio Quinton, Elona Shatri, Fabio Morreale, Ge Zhang, György Fazekas, Gus Xia, Huan Zhang, Ilaria Manco, Jiawen Huang, Julien Guinot, Liwei Lin, Luca Marinelli, Max W. Y. Lam, Megha Sharma, Qiuqiang Kong, Roger B. Dannenberg, Ruibin Yuan, Shangda Wu, Shih-Lun Wu, Shuqi Dai, Shun Lei, Shiyin Kang, Simon Dixon, Wenhu Chen, Wenhao Huang, Xingjian Du, Xingwei Qu, Xu Tan, Yizhi Li, Zeyue Tian, Zhiyong Wu, Zhizheng Wu, Ziyang Ma, Ziyu Wang:
Foundation Models for Music: A Survey. CoRR abs/2408.14340 (2024) - 2023
- [j3]Shih-Lun Wu, Yi-Hsuan Yang:
MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer With One Transformer VAE. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1953-1967 (2023) - [j2]Yi-Ting Hsieh, Tzu-Tao Chang, Chen-Jun Tsai, Shih-Lun Wu, Ching-Yuan Bai, Kai-Chieh Chang, Chung-Wei Lin, Eunsuk Kang, Chao Huang, Qi Zhu:
System Verification and Runtime Monitoring with Multiple Weakly-Hard Constraints. ACM Trans. Cyber Phys. Syst. 7(3): 21:1-21:28 (2023) - [j1]Yi-Jen Shih, Shih-Lun Wu, Frank Zalkow, Meinard Müller, Yi-Hsuan Yang:
Theme Transformer: Symbolic Music Generation With Theme-Conditioned Transformer. IEEE Trans. Multim. 25: 3495-3508 (2023) - [c10]Shih-Lun Wu, Yi-Hui Chou, Liangze Li:
Listener Model for the PhotoBook Referential Game with CLIPScores as Implicit Reference Chain. ACL (2) 2023: 1420-1432 - [c9]Siddhant Arora, Hayato Futami, Shih-Lun Wu, Jessica Huynh, Yifan Peng, Yosuke Kashiwagi, Emiru Tsunoo, Brian Yan, Shinji Watanabe:
A Study on the Integration of Pipeline and E2E SLU Systems for Spoken Semantic Parsing Toward Stop Quality Challenge. ICASSP 2023: 1-2 - [c8]Hayato Futami, Jessica Huynh, Siddhant Arora, Shih-Lun Wu, Yosuke Kashiwagi, Yifan Peng, Brian Yan, Emiru Tsunoo, Shinji Watanabe:
The Pipeline System of ASR and NLU with MLM-based data Augmentation Toward Stop Low-Resource Challenge. ICASSP 2023: 1-2 - [c7]Yosuke Kashiwagi, Siddhant Arora, Hayato Futami, Jessica Huynh, Shih-Lun Wu, Yifan Peng, Brian Yan, Emiru Tsunoo, Shinji Watanabe:
E-Branchformer-Based E2E SLU Toward Stop on-Device Challenge. ICASSP 2023: 1-2 - [c6]Shih-Lun Wu, Yi-Hsuan Yang:
Compose & Embellish: Well-Structured Piano Performance Generation via A Two-Stage Approach. ICASSP 2023: 1-5 - [c5]Yosuke Kashiwagi, Siddhant Arora, Hayato Futami, Jessica Huynh, Shih-Lun Wu, Yifan Peng, Brian Yan, Emiru Tsunoo, Shinji Watanabe:
Tensor decomposition for minimization of E2E SLU model toward on-device processing. INTERSPEECH 2023: 710-714 - [i11]Hayato Futami, Jessica Huynh, Siddhant Arora, Shih-Lun Wu, Yosuke Kashiwagi, Yifan Peng, Brian Yan, Emiru Tsunoo, Shinji Watanabe:
The Pipeline System of ASR and NLU with MLM-based Data Augmentation toward STOP Low-resource Challenge. CoRR abs/2305.01194 (2023) - [i10]Siddhant Arora, Hayato Futami, Shih-Lun Wu, Jessica Huynh, Yifan Peng, Yosuke Kashiwagi, Emiru Tsunoo, Brian Yan, Shinji Watanabe:
A Study on the Integration of Pipeline and E2E SLU systems for Spoken Semantic Parsing toward STOP Quality Challenge. CoRR abs/2305.01620 (2023) - [i9]Shih-Lun Wu, Yi-Hui Chou, Liangze Li:
Listener Model for the PhotoBook Referential Game with CLIPScores as Implicit Reference Chain. CoRR abs/2306.09607 (2023) - [i8]Shih-Lun Wu, Xuankai Chang, Gordon Wichern, Jee-weon Jung, François G. Germain, Jonathan Le Roux, Shinji Watanabe:
Improving Audio Captioning Models with Fine-grained Audio Features, Text Embedding Supervision, and LLM Mix-up Augmentation. CoRR abs/2309.17352 (2023) - [i7]Shih-Lun Wu, Chris Donahue, Shinji Watanabe, Nicholas J. Bryan:
Music ControlNet: Multiple Time-varying Controls for Music Generation. CoRR abs/2311.07069 (2023) - 2022
- [i6]Shih-Lun Wu, Yi-Hsuan Yang:
Compose & Embellish: Well-Structured Piano Performance Generation via A Two-Stage Approach. CoRR abs/2209.08212 (2022) - 2021
- [c4]Antoine Liutkus, Ondrej Cífka, Shih-Lun Wu, Umut Simsekli, Yi-Hsuan Yang, Gaël Richard:
Relative Positional Encoding for Transformers with Linear Complexity. ICML 2021: 7067-7079 - [i5]Shih-Lun Wu, Yi-Hsuan Yang:
MuseMorphose: Full-Song and Fine-Grained Music Style Transfer with Just One Transformer VAE. CoRR abs/2105.04090 (2021) - [i4]Antoine Liutkus, Ondrej Cífka, Shih-Lun Wu, Umut Simsekli, Yi-Hsuan Yang, Gaël Richard:
Relative Positional Encoding for Transformers with Linear Complexity. CoRR abs/2105.08399 (2021) - [i3]Yi-Jen Shih, Shih-Lun Wu, Frank Zalkow, Meinard Müller, Yi-Hsuan Yang:
Theme Transformer: Symbolic Music Generation with Theme-Conditioned Transformer. CoRR abs/2111.04093 (2021) - 2020
- [c3]Shih-Lun Wu, Hsiao-Yen Tung, Yu-Lun Hsu:
Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights. ICMLA 2020: 446-453 - [c2]Shih-Lun Wu, Yi-Hsuan Yang:
The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measures. ISMIR 2020: 142-149 - [c1]Shih-Lun Wu, Ching-Yuan Bai, Kai-Chieh Chang, Yi-Ting Hsieh, Chao Huang, Chung-Wei Lin, Eunsuk Kang, Qi Zhu:
Efficient System Verification with Multiple Weakly-Hard Constraints for Runtime Monitoring. RV 2020: 497-516 - [i2]Shih-Lun Wu, Yi-Hsuan Yang:
The Jazz Transformer on the Front Line: Exploring the Shortcomings of AI-composed Music through Quantitative Measures. CoRR abs/2008.01307 (2020) - [i1]Shih-Lun Wu, Hsiao-Yen Tung, Yu-Lun Hsu:
Deep Learning for Automatic Quality Grading of Mangoes: Methods and Insights. CoRR abs/2011.11378 (2020)
Coauthor Index
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