In listening to multi-part music, auditory streams can be attended to either selectively or globally. More specifically, musicians rely on prioritized integrative attention which incorporates both stream segregation and integration to assess the relationship between concurrent parts. In this fMRI study, we used a piano duet to investigate which factors of a leader-follower relationship between ...

This abstract presents our submission to the MIREX 2015 melody extraction task, whose goal is the identification of the melody pitch sequence from polyphonic musical audio. Our approach combines a source-filter model with the characterisation and analysis of pitch contours. The proposed method obtained the highest overall accuracy on several datasets among the algorithms participating in this y...

This paper describes our submission for the audio melody extraction task of the Music Information Retrieval Evaluation eXchange (MIREX 2014). Our algorithm first separates the vocal spectra from polyphonic sound spectra. Melody extraction and vocal activity detection are applied to the separated spectra.

This article proposes a method for the automatic transcription of the melody, bass line, and chords in polyphonic pop music. The method uses a frame-wise pitch-salience estimator as a feature extraction front-end. For the melody and bass-line transcription, this is followed by acoustic modeling of note events and musicological modeling of note transitions. The acoustic models include a model fo...

This paper proposes an effective method for automatic melody extraction in polyphonic music, especially vocal melody songs. The method is based on subharmonic summation spectrum and harmonic structure tracking strategy. Performance of the method is evaluated using the LabROSA database 1 . The pitch extraction accuracy of our method is 82.2% on the whole database, while 79.4% on the vocal part.