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
5 papers · 2 filters
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…
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…
Demonstration of PerformanceNet: A Convolutional Neural Network Model for Score-to-Audio Music Generation
Yu-Hua Chen, Bryan Wang, Yi-Hsuan Yang
We present in this paper PerformacnceNet, a neural network model we proposed recently to achieve score-to-audio music generation. The model learns to convert a music piece from the…
Learning with Learned Loss Function: Speech Enhancement with Quality-Net to Improve Perceptual Evaluation of Speech Quality
Szu-Wei Fu, Chien-Feng Liao, Yu Tsao
Utilizing a human-perception-related objective function to train a speech enhancement model has become a popular topic recently. The main reason is that the conventional mean squar…