20 citations · 32 across the 5 of their papers we have counts for
5 papers
towards automatic transcription of polyphonic electric guitar music:a new dataset and a multi-loss transformer model
Yu-Hua Chen, Wen-Yi Hsiao, Tsu-Kuang Hsieh +2
In this paper, we propose a new dataset named EGDB, that con-tains transcriptions of the electric guitar performance of 240 tab-latures rendered with different tones. Moreover, we…
Source Separation-based Data Augmentation for Improved Joint Beat and Downbeat Tracking
Ching-Yu Chiu, Joann Ching, Wen-Yi Hsiao +3
Due to advances in deep learning, the performance of automatic beat and downbeat tracking in musical audio signals has seen great improvement in recent years. In training such deep…
Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs
Wen-Yi Hsiao, Jen-Yu Liu, Yin-Cheng Yeh +1
To apply neural sequence models such as the Transformers to music generation tasks, one has to represent a piece of music by a sequence of tokens drawn from a finite set of pre-def…
Mixing-Specific Data Augmentation Techniques for Improved Blind Violin/Piano Source Separation
Ching-Yu Chiu, Wen-Yi Hsiao, Yin-Cheng Yeh +2
Blind music source separation has been a popular and active subject of research in both the music information retrieval and signal processing communities. To counter the lack of av…
Automatic Composition of Guitar Tabs by Transformers and Groove Modeling
Yu-Hua Chen, Yu-Hsiang Huang, Wen-Yi Hsiao +1
Deep learning algorithms are increasingly developed for learning to compose music in the form of MIDI files. However, whether such algorithms work well for composing guitar tabs, w…