Resources

WP1 Informed multichannel separation

• Interference reduction, ICASSP 2015 examples Separation examples, Remixing examples
• Interference reduction: MIRA and KAMIR algorithms applied on Montreux Jazz Festival archives
• Gaussian framework for interference reduction in live recordings applied to Montreux Jazz Festival archives
• Interactive listening tests Multichannel source separation with deep neural networks
  

WP2 Learning of multidimensional and multi-level structures :

• Training OMax with multidimensional probabilistic models applied to Charlie Parker standards : Generation examples
• Corpus Choice When Guiding Factor Oracle Improvisation With a Probabilistic Model : Generation examples
• Using several agents communicating through a cluster graph to create multidimensional improvisation, applied with melodic and harmonic agents on Charlie Parker's Omnibook : Generation examples
• Guiding improvisation with a multi-level progression on Rhythm Changes : Generation examples

WP4 videos of interactions with expert musicians
Public performances with DICY2 prototypes (ImproteK, WP3)
Listening sessions, interviews, qualitative validation of DYCI2 prototypes (ImproteK, WP3) by professional musicians

Section IV in Jérôme Nika's Phd thesis fully describes the sessions of musical experiments and qualitative validations of the DYCI2 prototypes (ImproteK, WP3). This analysis is illustrated with sound and video documents.

OMax / SoMax Dailymotion channel

OMax / SoMax Vimeo channel

IMproTech 2017 Paris - Philly Vimeo channel (see workshop web site)

Repository of former prototypes

OMax : https://forge.ircam.fr/p/OMax-git-fromSVN
ImproteK : https://forge.ircam.fr/p/ImproteK
Somax : https://forge.ircam.fr/p/Somax

WP2 Charlie Parker's Omnibook Data, encoded by K. Déguernel in Midi, MusicXml, MuseScore and PDF

Million song dataset

Lakh midi dataset (matched and aligned to entries in the Million Song Dataset)

An update on the Somax project, Laurent Bonnasse-Gahot (pdf).

Guiding human-computer music improvisation with temporal scenarios: summary (french)

Rapport et documentation SoMax 1.4 - Axel Chemla Romeu Santos. Mars 2016. Réécriture en python du générateur de corpus SoMax, réorganisation du patch SoMax et adaptation pour Max 7 64 bits.

Rapport d'activités 2015 - Ken Déguernel

Rapport de mi-parcours de thèse de Kevin Sanlaville : Adaptation temporelle de l'interaction - Juin 2016