2 code implementations • 30 Dec 2023 • Matteo Torcoli, Chih-Wei Wu, Sascha Dick, Phillip A. Williams, Mhd Modar Halimeh, William Wolcott, Emanuel A. P. Habets
Research into the prediction and analysis of perceived audio quality is hampered by the scarcity of openly available datasets of audio signals accompanied by corresponding subjective quality scores.
1 code implementation • 5 Sep 2023 • Karn N. Watcharasupat, Chih-Wei Wu, Yiwei Ding, Iroro Orife, Aaron J. Hipple, Phillip A. Williams, Scott Kramer, Alexander Lerch, William Wolcott
Cinematic audio source separation is a relatively new subtask of audio source separation, with the aim of extracting the dialogue, music, and effects stems from their mixture.
no code implementations • 12 Apr 2023 • Nikhil Singh, Chih-Wei Wu, Iroro Orife, Mahdi Kalayeh
We additionally compare this approach to a strong baseline where we remove speech before pretraining, and find that dub-augmented training is more effective, including for paralinguistic and audiovisual tasks where speech removal leads to worse performance.
1 code implementation • 2 Nov 2021 • Yun-Ning Hung, Karn N. Watcharasupat, Chih-Wei Wu, Iroro Orife, Kelian Li, Pavan Seshadri, Junyoung Lee
We propose a dataset, AVASpeech-SMAD, to assist speech and music activity detection research.
1 code implementation • ECCV 2020 • Tsai-Shien Chen, Chih-Ting Liu, Chih-Wei Wu, Shao-Yi Chien
Vehicle re-identification (re-ID) focuses on matching images of the same vehicle across different cameras.
1 code implementation • 5 Aug 2019 • Chih-Ting Liu, Chih-Wei Wu, Yu-Chiang Frank Wang, Shao-Yi Chien
Video-based person re-identification (Re-ID) aims at matching video sequences of pedestrians across non-overlapping cameras.
Ranked #11 on Person Re-Identification on MARS
1 code implementation • 5 Dec 2017 • Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu
FusionGAN is a novel genre fusion framework for music generation that integrates the strengths of generative adversarial networks and dual learning.