https://ftm2.ircam.fr/api.php?action=feedcontributions&feedformat=atom&user=Alexarje 2026-06-06T10:08:47Z User contributions MediaWiki 1.28.0 https://ftm2.ircam.fr/index.php?title=Projects_using_FTM&diff=2680 2009-10-27T09:04:55Z

<p>Alexarje: /* Music and movement research */</p> <hr /> <div>Here you can put a link to your research or artistic project and a short word on how you use FTM in it.<br /> <br /> === Sound Synthesis ===<br /> <br /> ==== Real-time corpus-based concatenative synthesis ====<br /> <br /> [http://imtr.ircam.fr/index.php/CataRT CataRT], by Diemo Schwarz and many collaborators, is a sound synthesis<br /> system completely based on FTM that analyses and plays back snippets of sound<br /> controlled by their sonic characteristics. FTM is used here to store<br /> various information of the sound grains, and a dynamic number of<br /> waveforms themselves, in a mat table of dicts with info and fmat sound<br /> matrics. Gabor is used for granular synthesis with unlimited<br /> polyphony and pitch and spectral analysis. MnM is used for<br /> statistical analysis (mean values of descriptors) and lookup of matching<br /> grains.<br /> <br /> === Music and movement research ===<br /> <br /> We use FTM in the [http://www.fourms.uio.no/ FourMs] lab at the University of Oslo for many different applications: <br /> <br /> * Storing and playing back recordings of motion capture data from electromagnetic trackers (Polhemus), video analysis (Musical Gestures Toolbox), infrared systems (Optitrack and Qualisys), and various types of accelerometer-based systems. This is mainly done using the SDIF recording/playback functionality in FTM, with a focus on developing a set of [http://www.gdif.org GDIF] descriptors. <br /> * Sound synthesis and control, using GABOR and [http://imtr.ircam.fr/index.php/CataRT CataRT]. <br /> * Machine learning using the MnM objects.</div>

Alexarje https://ftm2.ircam.fr/index.php?title=Projects_using_FTM&diff=2679 2009-10-27T09:04:35Z

<p>Alexarje: /* Real-time corpus-based concatenative synthesis */</p> <hr /> <div>Here you can put a link to your research or artistic project and a short word on how you use FTM in it.<br /> <br /> === Sound Synthesis ===<br /> <br /> ==== Real-time corpus-based concatenative synthesis ====<br /> <br /> [http://imtr.ircam.fr/index.php/CataRT CataRT], by Diemo Schwarz and many collaborators, is a sound synthesis<br /> system completely based on FTM that analyses and plays back snippets of sound<br /> controlled by their sonic characteristics. FTM is used here to store<br /> various information of the sound grains, and a dynamic number of<br /> waveforms themselves, in a mat table of dicts with info and fmat sound<br /> matrics. Gabor is used for granular synthesis with unlimited<br /> polyphony and pitch and spectral analysis. MnM is used for<br /> statistical analysis (mean values of descriptors) and lookup of matching<br /> grains.<br /> <br /> === Music and movement research ===<br /> <br /> We use FTM in the [http://www.fourms.uio.no/ FourMs] lab for many different applications: <br /> <br /> * Storing and playing back recordings of motion capture data from electromagnetic trackers (Polhemus), video analysis (Musical Gestures Toolbox), infrared systems (Optitrack and Qualisys), and various types of accelerometer-based systems. This is mainly done using the SDIF recording/playback functionality in FTM, with a focus on developing a set of [http://www.gdif.org GDIF] descriptors. <br /> * Sound synthesis and control, using GABOR and [http://imtr.ircam.fr/index.php/CataRT CataRT]. <br /> * Machine learning using the MnM objects.</div>

Alexarje