1 code implementation • 20 Jul 2022 • Longshen Ou, Xiangming Gu, Ye Wang
To fill in the performance gap between ALT and ASR, we attempt to exploit the similarities between speech and singing.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
1 code implementation • 13 Jul 2022 • Xiangming Gu, Longshen Ou, Danielle Ong, Ye Wang
Automatic lyric transcription (ALT) is a nascent field of study attracting increasing interest from both the speech and music information retrieval communities, given its significant application potential.
1 code implementation • 26 May 2023 • Longshen Ou, Xichu Ma, Min-Yen Kan, Ye Wang
The development of general-domain neural machine translation (NMT) methods has advanced significantly in recent years, but the lack of naturalness and musical constraints in the outputs makes them unable to produce singable lyric translations.
no code implementations • 3 Mar 2020 • Bozhou Chen, Kaixin Zhang, Longshen Ou, Chenmin Ba, Hongzhi Wang, Chunnan Wang
However, most machine learning algorithms are sensitive to the hyper-parameters.
no code implementations • 8 Apr 2022 • Longshen Ou, Ziyi Guo, Emmanouil Benetos, Jiqing Han, Ye Wang
Most recent research about automatic music transcription (AMT) uses convolutional neural networks and recurrent neural networks to model the mapping from music signals to symbolic notation.
no code implementations • 5 Jul 2023 • Longshen Ou, Xichu Ma, Ye Wang
Despite previous efforts in melody-to-lyric generation research, there is still a significant compatibility gap between generated lyrics and melodies, negatively impacting the singability of the outputs.