The capability of transcribing music audio into music notation is a fascinating example of
human intelligence. It involves perception (analyzing complex auditory scenes), cognition …

Driven by recent advancements in Extended Reality (XR), the hype around the Metaverse,
and real‐time computer graphics, the transformation of the performing arts, particularly in …

PowerPoint 프레젠테이션 Page 1 경영과학연구실 이태헌 2023.07.09 Deep salience
representations for f0 estimation in polyphonic music 1 Bittner, Rachel M., et al. "Deep Salience …

We introduce a dataset for facilitating audio-visual analysis of music performances. The
dataset comprises 44 simple multi-instrument classical music pieces assembled from …

The guitar is a popular instrument for a variety of reasons, including its ability to produce
polyphonic sound and its musical versatility. The resulting variability of sounds, however …

Automatic Music Transcription (AMT) has been recognized as a key enabling technology
with a wide range of applications. Given the task's complexity, best results have typically …

Multi-instrument automatic music transcription (AMT) is a critical but less investigated
problem in the field of music information retrieval (MIR). With all the difficulties faced by …

This paper explores a variety of models for frame-based music transcription, with an
emphasis on the methods needed to reach state-of-the-art on human recordings. The …

Generating continuous f0 annotations for tasks such as melody extraction and multiple f0
estimation typically involves running a monophonic pitch tracker on each track of a multitrack …

In this paper, we propose a new dataset named EGDB, that contains transcriptions of the
electric guitar performance of 240 tablatures rendered with different tones. Moreover, we …