2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.SD2023★ 1 cited
Elucidate Gender Fairness in Singing Voice Transcription
Xiangming Gu, Wei Zeng, Ye Wang
It is widely known that males and females typically possess different sound characteristics when singing, such as timbre and pitch, but it has never been explored whether these gen…
cs.SD2023★ 1 cited
Deep Audio-Visual Singing Voice Transcription based on Self-Supervised Learning Models
Xiangming Gu, Wei Zeng, Jianan Zhang +2
Singing voice transcription converts recorded singing audio to musical notation. Sound contamination (such as accompaniment) and lack of annotated data make singing voice transcrip…
eess.AS2022★ 2 cited
Transfer Learning of wav2vec 2.0 for Automatic Lyric Transcription
Longshen Ou, Xiangming Gu, Ye Wang
Automatic speech recognition (ASR) has progressed significantly in recent years due to the emergence of large-scale datasets and the self-supervised learning (SSL) paradigm. Howeve…