3 papers
eess.AS2024
Towards Efficient and Real-Time Piano Transcription Using Neural Autoregressive Models
Taegyun Kwon, Dasaem Jeong, Juhan Nam
In recent years, advancements in neural network designs and the availability of large-scale labeled datasets have led to significant improvements in the accuracy of piano transcrip…
cs.SD2024
A Real-Time Lyrics Alignment System Using Chroma And Phonetic Features For Classical Vocal Performance
Jiyun Park, Sangeon Yong, Taegyun Kwon +1
The goal of real-time lyrics alignment is to take live singing audio as input and to pinpoint the exact position within given lyrics on the fly. The task can benefit real-world app…
cs.SD2023
A study of audio mixing methods for piano transcription in violin-piano ensembles
Hyemi Kim, Jiyun Park, Taegyun Kwon +2
While piano music transcription models have shown high performance for solo piano recordings, their performance degrades when applied to ensemble recordings. This study aims to ana…