4 citations · 13 across the 16 of their papers we have counts for
5 papers · 1 filter
Controllable Lyrics-to-Melody Generation
Zhe Zhang, Yi Yu, Atsuhiro Takasu
Lyrics-to-melody generation is an interesting and challenging topic in AI music research field. Due to the difficulty of learning the correlations between lyrics and melody, previo…
Frame-Level Multi-Label Playing Technique Detection Using Multi-Scale Network and Self-Attention Mechanism
Dichucheng Li, Mingjin Che, Wenwu Meng +4
Instrument playing technique (IPT) is a key element of musical presentation. However, most of the existing works for IPT detection only concern monophonic music signals, yet little…
Deep Attention-Based Alignment Network for Melody Generation from Incomplete Lyrics
Gurunath Reddy M, Zhe Zhang, Yi Yu +3
We propose a deep attention-based alignment network, which aims to automatically predict lyrics and melody with given incomplete lyrics as input in a way similar to the music creat…
HPPNet: Modeling the Harmonic Structure and Pitch Invariance in Piano Transcription
Weixing Wei, Peilin Li, Yi Yu +1
While neural network models are making significant progress in piano transcription, they are becoming more resource-consuming due to requiring larger model size and more computing…
Interpretable Melody Generation from Lyrics with Discrete-Valued Adversarial Training
Wei Duan, Zhe Zhang, Yi Yu +1
Generating melody from lyrics is an interesting yet challenging task in the area of artificial intelligence and music. However, the difficulty of keeping the consistency between in…