The setup and the execution of the electroacoustic part of this work requires a Computer Music Designer (Max expert).

Version Information

Performance date
May 19, 2010
Documentation date
May 19, 2010
Version
JIM_2010
Status
valid
Validation date
May 3, 2018
Realisation
Serge Lemouton (Computer Music Designer)
Length
8 min
Comment
Version for 2 Macintosh (PPC for gesture recognition and Intel for sound processing)
Solo violin : Patrick Schleuter

Other Versions

2019_CNSMDPFebruary 13, 2019

2014_sans_capteurMay 29, 2014

radio-france versionJanuary 6, 2006

Detailed Staff

Soloist
violin

Detailed staff comes from Brahms, send mail to ressources-contenus@ircam.fr for correction.

Electronic Equipment List

Computer Music Equipment

1 Max/MSP
Max (Cycling74) - version 4.5.7
2 Hammerfall Multiface
Sound Board (RME)
1 BCF 2000
MIDI Mixer (Behringer)
1 WiseBox
MIDI Converter (Ircam)
1 PowerBook G4
Apple Laptops (Apple) - G5 2*2,5 Ghz for gesture recognition, called "Motion Capture Mac"
1 Max 5
Max (Cycling74)
1 MacBook Pro
Apple Laptops (Apple) - for sound processing, called "Audio Mac"

Audio Equipment

1 DPA 4021
Condenser Microphones (DPA) - on the violin, for sound processing

Musical Instruments

1 Ircam extended bow
Motion Capture (Ircam)

Downloads

solo violin recordings

Anne Mercier

comment

Solo violin played by Anne Mercier, recorded during the premiere in Dijon.

116.53 Mo

MaxMsp patches and libraries

Frederic Dufeu

48.26 Mo


Instructions

Audio setup

 

Two microphones are required :

  • one for sound processing on the violin body (called "Violin Mike")
  • the other one, on stand, for simple sound amplification

 

Audio and sensor connexions

 

bogenlied setup

Loudspeaker setup

Sensor setup

bogenlied bow

Software installation

 MaxMSP 4.5.7 on a PowerBook G5 2*2,5 under mac os X 10.4.7.

MaxMSP 5.1 on a MAcBookPro under mac os X 10.6.

System calibration and tests

Check the udp communication between the computers.

Check and adjust the bow sensors.

If necessary, the gesture recognition system can be calibrated according to the playing style of the performer. It involves training the knn algorithm written in FTM (in the bogenLied-Recogn28).

Initialization routine

on the Audio Mac :

Set the File Preferences to the folders lib/ and snd/.

Open BogenLied-027-RadioFrance on the Audio Mac.

on the Motion Capture Macintosh :

FTM 1.7.7 is required (cf http://ftm.ircam.fr/index.php/Download)

Open the bogenLied-Recogn28 patch.

 

Audio Patch presentation

 

The Max/MSP sound patch contains two granular synthesis modules and several effects. The first granulator is used to produce drones (pedal-notes) triggered by the bow strokes.

A separate drone is linked to each bowing styles: G, A, and E for détaché, martelé and spiccato, respectively.

The second granulator is used for real-time processing of the violin sound. The audio signal from the microphone is stored in a 5 second circular buffer~, and 100 to 200 ms grains are played back from this buffer.

The granular synthesis sound is processed through several standard effects: frequency-shifter, harmonizer, filter and vocoder. Different combinations and parameterizations of these effects are used in each section.

Some parameters are controlled in realtime by the gesture data.

 

Gesture Recognition Patch presentation

The bogenLied-Recogn28 is performing a bowing style classification in order to recognize detaché/martelatto and staccato bowstrokes along with a measurement of the gesture energy.

 


Performance notes

On the Sound Processing Mac (patch BogenLied-027-RadioFrance), you can select the current section with the menu or using the left and right arrow keys on the computer keyboard.

The musical form of BogenLied is a simple linear form divided into nine sections, alternatively with and without electronics.

In section II, IV and VI, the musical writing is focused on specific articulations of bow strokes: détaché, martelé, spiccato.

Each of these sections is associated to specific compositional materials, as well as to specific electronic sound processes.

In section VIII, the three bowing styles appear successively, along with their associated compositional material. In this section, the choice of the electronic processes is driven by the recognition system.

In the last section (IX), the performer plays hybrid bow strokes, which sequence appears as a series of “mutations” from one articulation to another one. The electronic sound is then built as a combination of the electronic processes performed in section II, IV and VI

 

 

 

 


 

Program Notes

BogenLied (2005) est une pièce pour « violon augmenté » et électroacoustique en temps réel. Ce violon au nom particulier fait l’objet d’un développement de recherche à l’Ircam. Prototype unique, le violon augmenté contient une puce électronique pesant seulement quelques grammes et placée sur la hausse de l’archet du violoniste. Cette puce est capable de capter en temps réel au moment du concert, les phrasés gestuels que le soliste exécute avec son archet sur les cordes, et de transmettre ces informations à l’ordinateur placé au centre du dispositif électroacoustique.

Pourquoi le phrasé gestuel de l’instrumentiste est-il à ce point intéresssant ? je répondrai qu’il est l’outil qui élabore le son, celui qui façonne le timbre de l’objet sonore par de multiples qualités de célérité, d’énergie ou de position de l’archet sur la corde. Ce qui m’intéresse donc en tant que compositeur, c’est de placer mon écoute dans ce lieu réservé de l’instrumentiste, de capter ses phrasés gestuels et de créer à partir de ces données, un système interactif d’un genre tout à fait nouveau entre l’ordinateur et le musicien. Car ici, l’espace sonore électroacoustique est entièrement piloté par le coup d’archet du violoniste.

BogenLied est la première pièce écrite pour violon augmenté, commande de l’Association Cumulus, créée en concert en co-réalisation avec l’Ircam par Anne Mercier, violon soliste de l’ensemble L’Itinéraire. Réalisation informatique musicale Ircam : Serge Lemouton. Technologie violon augmenté Ircam : Nicolas Rasamimanana, Frédéric Bevilacqua, Emmanuel Fléty.


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