The aim of this paper is to propose solutions to some problems that arise in automatic
polyphonic transcription of recorded piano music. First, we propose a method that groups …

We consider two approaches for sparse decomposition of polyphonic music: a time-domain
approach based on a shift-invariant model, and a frequency-domain approach based on …

In the area of music information retrieval (MIR), automatic music transcription is considered
one of the most challenging tasks, for which many different techniques have been proposed …

This study presents efficient techniques for multiple fundamental frequency estimation in
music signals. The proposed methodology can infer harmonic patterns from a mixture …

The thesis deals principally with the separation of pitched sources from singlechannel
polyphonic musical recordings. The aim is to extract from a mixture a set of pitched …

The paper presents our approach to the problem of finding melodic line (s) in polyphonic
audio recordings. The approach is composed of two different stages, partially rooted in …

This paper presents a new method for multiple fundamental frequency (F0) estimation on
piano recordings. We propose a framework based on a genetic algorithm in order to analyze …

The presented study deals with extraction of melodic line (s) from polyphonic audio
recordings. We base our work on the use of expectation maximization algorithm, which is …

The presented study deals with extraction of melodic line (s) from polyphonic audio
recordings. Our approach is based on finding significant melodic fragments throughout the …

This paper presents a Genetic Algorithm approach with Harmonic Structure Evolution for
Polyphonic Music Transcription. Automatic Music Transcription is a very complex problem …