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 …

Multiple pitch estimation consists of estimating the fundamental frequencies and saliences of
pitched sounds over short time frames of an audio signal. This task forms the basis of …

Multi-pitch estimation of sources in music is an ongoing research area that has a wealth of
applications in music information retrieval systems. This paper presents the systematic …

Techniques based on non-negative matrix factorization (NMF) can be used to efficiently
decompose a magnitude spectrogram into a set of template (column) vectors and activation …

This paper presents a frame-based system for estimating multiple fundamental frequencies
(F0s) of polyphonic music signals based on the short-time Fourier transform (STFT) …

Polyphonic pitch transcription consists of estimating the onset time, duration and pitch of
each note in a music signal. This task is difficult in general, due to the wide range of possible …

Recently, shift‐invariant tensor factorisation algorithms have been proposed for the
purposes of sound source separation of pitched musical instruments. However, in practice …

In this paper, we investigate the problem of real-time detection of overlapping sound events
by employing non-negative matrix factorization techniques. We consider a setup where …

Auscultation is often the first clinical analysis realized by doctors when patients have any
symptoms related to a heart disease. In a typical scenario of auscultation, heart sounds are …

Deep learning has significantly advanced music source separation (MSS), aiming to
decompose music recordings into individual tracks corresponding to singing or specific …