The task of estimating the fundamental frequency of a monophonic sound recording, also
known as pitch tracking, is fundamental to audio processing with multiple applications in …

Music transcription is the process of transforming recorded sound of musical performances
into symbolic representations such as sheet music or MIDI files. Extensive research and …

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 …

In the early years of music information retrieval (MIR), research problems were often
centered around conceptually simple tasks, and methods were evaluated on small …

This paper proposes a large-scale dataset for singing transcription, along with some
methods for fine-tuning and validating its contents. The dataset is named MIR-ST500, which …

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 …

Choral singing is a central part of musical cultures across the world, yet many facets of this
widespread form of polyphonic singing are still to be explored. Music information retrieval …

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 …