3 accepted papers
Real-time performance tracking is the core component of automatic accompaniment systems. Previous methods typically require full information on the performance score (the human part) and also assume very limited improvisations off the score, otherwise, the tracker will get lost. In this paper, we ai…
Current state-of-the-art music boundary detection methods use local features for boundary detection, but such an approach fails to explicitly incorporate the statistical properties of the detected segments. This paper presents a music boundary detection method that simultaneously considers a fitness…
Transcribing the singing voice into music notes is challenging due to pitch fluctuations such as portamenti and vibratos. This paper presents a probabilistic transcription method for monophonic sung melodies that explicitly accounts for these local pitch fluctuations. In the hierarchical Hidden Mark…