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
21 papers · 1 filter
Distributed Multi-Stream Beamforming in MIMO Multi-Relay Interference Networks
Cenk M. Yetis, Ronald Y. Chang
In this paper, multi-stream transmission in interference networks aided by multiple amplify-and-forward (AF) relays in the presence of direct links is considered. The objective is…
PerformanceNet: Score-to-Audio Music Generation with Multi-Band Convolutional Residual Network
Bryan Wang, Yi-Hsuan Yang
Music creation is typically composed of two parts: composing the musical score, and then performing the score with instruments to make sounds. While recent work has made much progr…
Reinforcement Learning Based Speech Enhancement for Robust Speech Recognition
Yih-Liang Shen, Chao-Yuan Huang, Syu-Siang Wang +3
Conventional deep neural network (DNN)-based speech enhancement (SE) approaches aim to minimize the mean square error (MSE) between enhanced speech and clean reference. The MSE-opt…
Multitask learning for frame-level instrument recognition
Yun-Ning Hung, Yi-An Chen, Yi-Hsuan Yang
For many music analysis problems, we need to know the presence of instruments for each time frame in a multi-instrument musical piece. However, such a frame-level instrument recogn…
A Streamlined Encoder/Decoder Architecture for Melody Extraction
Tsung-Han Hsieh, Li Su, Yi-Hsuan Yang
Melody extraction in polyphonic musical audio is important for music signal processing. In this paper, we propose a novel streamlined encoder/decoder network that is designed for t…
Voice Conversion Based on Cross-Domain Features Using Variational Auto Encoders
Wen-Chin Huang, Hsin-Te Hwang, Yu-Huai Peng +2
An effective approach to non-parallel voice conversion (VC) is to utilize deep neural networks (DNNs), specifically variational auto encoders (VAEs), to model the latent structure…