In recent years, source separation has been a central research topic in music signal
processing, with applications in stereo-to-surround up-mixing, remixing tools for disc jockeys …

Automatic music transcription is considered by many to be a key enabling technology in
music signal processing. However, the performance of transcription systems is still …

This paper introduces a new large-scale music dataset, MusicNet, to serve as a source of
supervision and evaluation of machine learning methods for music research. MusicNet …

Music signal processing may appear to be the junior relation of the large and mature field of
speech signal processing, not least because many techniques and representations …

This article presents a multimodal dataset comprising various representations and
annotations of Franz Schubert's song cycle Winterreise. Schubert's seminal work constitutes …

Automatically inferring the structural properties of raw multimedia documents is essential in
today's digitized society. Given its hierarchical and multi-faceted organization, musical …

Music can be described and represented in many different ways, including as sheet music,
symbolic representations, and audio recordings (Müller, 2015). For each of these …

Soundprism, as proposed in this paper, is a computer system that separates single-channel
polyphonic music audio played by harmonic sources into source signals in an online …

The extraction of tempo and beat information from music recordings constitutes a
challenging task in particular for non-percussive music with soft note onsets and time …

Due to the difficulty of creating pitch-labeled training data that cover the rich diversity found
in music signals, unsupervised feature-based approaches derived from signal processing …