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Li-Chia Yang
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2020 – today
- 2023
- [c8]Bryce Irvin, Marko Stamenovic, Mikolaj Kegler, Li-Chia Yang:
Self-Supervised Learning for Speech Enhancement Through Synthesis. ICASSP 2023: 1-5 - 2022
- [c7]Yuchen Liu, Li-Chia Yang, Alexander Pawlicki, Marko Stamenovic:
CCATMos: Convolutional Context-aware Transformer Network for Non-intrusive Speech Quality Assessment. INTERSPEECH 2022: 3318-3322 - [i9]Bryce Irvin, Marko Stamenovic, Mikolaj Kegler, Li-Chia Yang:
Self-Supervised Learning for Speech Enhancement through Synthesis. CoRR abs/2211.02542 (2022) - [i8]Yuchen Liu, Li-Chia Yang, Alex Pawlicki, Marko Stamenovic:
CCATMos: Convolutional Context-aware Transformer Network for Non-intrusive Speech Quality Assessment. CoRR abs/2211.02577 (2022) - 2021
- [i7]Marko Stamenovic, Nils L. Westhausen, Li-Chia Yang, Carl Jensen, Alex Pawlicki:
Weight, Block or Unit? Exploring Sparsity Tradeoffs for Speech Enhancement on Tiny Neural Accelerators. CoRR abs/2111.02351 (2021) - 2020
- [j1]Li-Chia Yang, Alexander Lerch:
On the evaluation of generative models in music. Neural Comput. Appl. 32(9): 4773-4784 (2020) - [c6]Igor Fedorov, Marko Stamenovic, Carl Jensen, Li-Chia Yang, Ari Mandell, Yiming Gan, Matthew Mattina, Paul N. Whatmough:
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids. INTERSPEECH 2020: 4054-4058 - [c5]Li-Chia Yang, Alexander Lerch:
Remixing Music with Visual Conditioning. ISM 2020: 181-188 - [i6]Igor Fedorov, Marko Stamenovic, Carl Jensen, Li-Chia Yang, Ari Mandell, Yiming Gan, Matthew Mattina, Paul N. Whatmough:
TinyLSTMs: Efficient Neural Speech Enhancement for Hearing Aids. CoRR abs/2005.11138 (2020) - [i5]Li-Chia Yang, Alexander Lerch:
Remixing Music with Visual Conditioning. CoRR abs/2010.14565 (2020)
2010 – 2019
- 2018
- [c4]Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang, Yi-Hsuan Yang:
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment. AAAI 2018: 34-41 - [i4]Lamtharn Hantrakul, Li-Chia Yang:
Neural Wavetable: a playable wavetable synthesizer using neural networks. CoRR abs/1811.05550 (2018) - 2017
- [c3]Li-Chia Yang, Szu-Yu Chou, Jen-Yu Liu, Yi-Hsuan Yang, Yi-An Chen:
Revisiting the problem of audio-based hit song prediction using convolutional neural networks. ICASSP 2017: 621-625 - [c2]Szu-Yu Chou, Li-Chia Yang, Yi-Hsuan Yang, Jyh-Shing Roger Jang:
Conditional preference nets for user and item cold start problems in music recommendation. ICME 2017: 1147-1152 - [c1]Li-Chia Yang, Szu-Yu Chou, Yi-Hsuan Yang:
MidiNet: A Convolutional Generative Adversarial Network for Symbolic-Domain Music Generation. ISMIR 2017: 324-331 - [i3]Li-Chia Yang, Szu-Yu Chou, Yi-Hsuan Yang:
MidiNet: A Convolutional Generative Adversarial Network for Symbolic-domain Music Generation using 1D and 2D Conditions. CoRR abs/1703.10847 (2017) - [i2]Li-Chia Yang, Szu-Yu Chou, Jen-Yu Liu, Yi-Hsuan Yang, Yi-An Chen:
Revisiting the problem of audio-based hit song prediction using convolutional neural networks. CoRR abs/1704.01280 (2017) - [i1]Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang, Yi-Hsuan Yang:
MuseGAN: Symbolic-domain Music Generation and Accompaniment with Multi-track Sequential Generative Adversarial Networks. CoRR abs/1709.06298 (2017)
Coauthor Index
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