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August 2020

Thrilled to announce that our paper entitled "Deep Learning Based Source Separation Applied to Choir Ensembles" has been accepted to the 21st International Society for Music Information Retrieval Conference !

conference

music information retrieval

source separation

Ongoing

In this second part, we explore network conditioning for source separation tasks, using the sources' fundamental frequency as control input.

conditioned u-net

source separation

film layer

January 2020

Musical source separation for SATB choral recordings, performed in both the waveform and spectral domain.

python

source separation

tensorflow

source_number_icon_website-2.png

March 2020

Source count for audio signals via multi-fundamental frequency contour analysis.

python

f0 estimation

tensorflow

February 2020

Extending the concept of audio mosaicing to a multi-band approach.

python

freesound

essentia

May 2016

An iPad app exploring different spectral synthesis and processing techniques, such as convolution, morphing and cross synthesis from a practical perspective.

csound

iPad app

objective-c

spectral processing

January 2016

Fun and creative music making app; with csJam, you can improvise, perform, sequence, and compose with a variety of synthetic and sampled instruments.

csound

iPad app

objective-c

step-sequencer

March 2015

iPad app exploiting musical concepts such as question-answer, motifs, and transposition to generate music algorithmically in interaction with its user.

csound

iPad app

objective-c

generative music

February 2020

System designed in PureData, which assimilates and learns from musical performances using Markov models.

pure data

performance

markov model

September 2015

A simple yet powerful program written in C  for algorithmic music generation.

c programming

csound

generative music

March 2015

Various physical model systems using noise as their sole signal source in order to generate various sound effects.

max/msp

noise-based

physical model