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 …

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 …

A new method for the estimation of multiple concurrent pitches in piano recordings is
presented. It addresses the issue of overlap** overtones by modeling the spectral …

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 …

Most audio source separation methods are developed for a particular scenario
characterized by the number of sources and channels and the characteristics of the sources …

This paper presents a maximum-likelihood approach to multiple fundamental frequency (F0)
estimation for a mixture of harmonic sound sources, where the power spectrum of a time …

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 …

In this paper, we present a simple and fast method to separate a monaural audio signal into
harmonic and percussive components, which is much useful for multi-pitch analysis …

This paper presents new algorithms of independent component analysis (ICA) for super-
Gaussian sources based on auxiliary function technique. The algorithms consist of two …