325 citations
- Academia SinicaTW47 papers
- National Taiwan UniversityTW30 papers
- Institute of Information Science, Academia SinicaTW20 papers
- National Yang Ming Chiao Tung UniversityTW14 papers
- National Sun Yat-sen UniversityTW10 papers
- National Tsing Hua UniversityTW9 papers
- National Institute of Information and Communications TechnologyJP8 papers
- National Taiwan University of Science and TechnologyTW8 papers
- National Chengchi UniversityTW4 papers
- Singapore University of Technology and DesignSG4 papers
- Virginia TechUS4 papers
- National Taipei University of TechnologyTW3 papers
12 papers · 1 filter
Time-Domain Multi-modal Bone/air Conducted Speech Enhancement
Cheng Yu, Kuo-Hsuan Hung, Syu-Siang Wang +3
Previous studies have proven that integrating video signals, as a complementary modality, can facilitate improved performance for speech enhancement (SE). However, video clips usua…
A Study of Joint Effect on Denoising Techniques and Visual Cues to Improve Speech Intelligibility in Cochlear Implant Simulation
Rung-Yu Tseng, Tao-Wei Wang, Szu-Wei Fu +2
Speech perception is key to verbal communication. For people with hearing loss, the capability to recognize speech is restricted, particularly in a noisy environment or the situati…
Improving Automatic Jazz Melody Generation by Transfer Learning Techniques
Hsiao-Tzu Hung, Chung-Yang Wang, Yi-Hsuan Yang +1
In this paper, we tackle the problem of transfer learning for Jazz automatic generation. Jazz is one of representative types of music, but the lack of Jazz data in the MIDI format…
Increasing Compactness Of Deep Learning Based Speech Enhancement Models With Parameter Pruning And Quantization Techniques
Jyun-Yi Wu, Cheng Yu, Szu-Wei Fu +3
Most recent studies on deep learning based speech enhancement (SE) focused on improving denoising performance. However, successful SE applications require striking a desirable bala…
Dilated Convolution with Dilated GRU for Music Source Separation
Jen-Yu Liu, Yi-Hsuan Yang
Stacked dilated convolutions used in Wavenet have been shown effective for generating high-quality audios. By replacing pooling/striding with dilation in convolution layers, they c…
Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation
Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang +1
We present an approach for jointly matching and segmenting object instances of the same category within a collection of images. In contrast to existing algorithms that tackle the t…