This paper deals with a score–audio music retrieval task where the aim is to find relevant
audio recordings of Western classical music, given a short monophonic musical theme in …

Despite the success of end-to-end approaches, chroma (or pitch-class) features remain a
useful mid-level representation of music audio recordings due to their direct interpretability …

Many music information retrieval tasks involve the comparison of a symbolic score
representation with an audio recording. A typical strategy is to compare score–audio pairs …

The automatic recognition of chords from jazz recordings remains largely an unsolved
challenge, due to the broad harmonic vocabulary, the freedom of interpretation in …

This paper describes a statistically-principled semi-supervised method of automatic chord
estimation (ACE) that can make effective use of music signals regardless of the availability of …

This paper describes a deep generative approach to joint chord and key estimation for
music signals. The limited amount of music signals with complete annotations has been the …

Automatic music transcription uses computational algorithms to covert a music audio into
some form of music notation. Automatic music transcription is very important for applications …

In the Western music tradition, chords are the main constituent components of harmony, a
fundamental dimension of music. Despite its relevance for several Music Information …

Modern remote sensing (RS) image application systems often distribute image processing
tasks among multiple data centers and then gather the processed images from each center …

While common approaches to automatic structural analysis of music typically focus on
individual audio files, our approach collates audio features of large sets of related files in …