Jump to Navigation

Main menu

  • Login
Home

Secondary menu

  • [Room Booking]
  • [Wiki]
  • [Webmail]

Digital Modeling of Expressive Acoustic Instruments

Date: 
Thu, 01/26/2017 - 5:30pm - 7:00pm
Location: 
CCRMA Class Room [Knoll 217]
Event Type: 
DSP Seminar
Abstract: The increasing demand of expressive virtual instruments has led the research and development of powerful and sophisticated technologies. While samplers and synthesizers have been for decades the cornerstones of virtual music, it’s nevertheless true that limitations of both techniques are well known. The purpose of our research is to find a way to overcome these constraints exploring both the Physical Modeling and the Sample Modeling approach. We have performed an in-depth study of the Physical Modeling techniques, especially the Digital Waveguides Synthesis by Prof. Julius O. Smith. Using this technique, adding new elements and performing an unceasing fine-tuning we have built the best modeled Bowed Strings virtual instruments on the market, allowing the real-time control of bow speed, bow pressure, bow position, vibrato, portamento, harmonics, tremolo, pizzicato, and many other parameters in a realistic way, almost undistinguishable from the real instrument. The Sample Modeling approach, most suitable for the Woodwinds instruments, uses real samples as raw material, chromatically performed by professional musicians on a wide dynamic range. The resulting timbre is therefore the same as the real instrument, but the analogy with samples-based libraries is just that. Indeed, this technology allows the morphing of the sound with a continuous interpolation between different “vectors”, such as time, dynamics, pitch, formants, sub-harmonics, overtones, and so on, thus giving the musician the opportunity to play under its control the broadest possible range of articulations never reached before, and - above all - in real-time, avoiding side effects such as “phasing” “formant shifting”, and other undesired artifacts. In addition, we have implemented algorithms for the simulation of several behavioral interactions of the acoustic instruments that occur during a real performance, maintaining anyway a realistic and natural timbre. We have called this innovative technology SWAM - Synchronous Waves Acoustic Modeling.

Bios:

Stefano Lucato is an Italian Musician, Music Producer and Sound Designer. After the High School graduation at the Technical Institute ITCG he starts his professional work as musician and music producer for discography and for national radio television broadcast. His passion for music has always been joined to the one for Physics and Sound Synthesis technologies, so now his expertise ranges from musical fields to the audio signal processing. Since 2003 he deals to Sound Design in more detail collaborating with Dr. Giorgio Tommasini with whom he implemented a number of proprietary technologies for modeling expressive acoustic sounds. In 2007 Stefano developed a new and powerful manipulation method of audio samples that allows a multivector morphing with phase coherence among different elements of sound: dynamics, pitch, etc. (Synchronous Wave Triggering S.W.T.). This technique is used for the first time in 2008 with the virtual instrument "Mr.Sax T." distributed and produced in collaboration with SampleModeling (Giorgio Tommasini, Peter Siedlaczek). In 2009 it starts the fruitful collaboration with Ing. Emanuele Parravicini with whom he will work on the evolution of the previous SWT technology namely the new "Synchronous Wave Acoustic Modeling" (better known as S.W.A.M.) which allows to combine sampled sounds to concepts of physical modeling. Currently the products (Virtual Expressive Instruments) based on this technology are getting increasingly international success.

Emanuele Parravicini graduated in Telecommunications Engineering in 2002 and attended a Master in Information Technologies in 2003. He is also a musician, singer and composer, he likes music and audio applications. He focused on the field of digital audio, MIDI, audio plugins programming and published articles about plugin development with the VST standard. In 2009, his partnership with Stefano Lucato began, founding the “SWAM” Engine Project    (Synchronous Waves Acoustic Modeling) as Software Designer and Lead Developer. The purpose of SWAM products is to reproduce the sound and the behavior of real expressive musical instruments using the combination of Sample Modeling and Physical Modeling techniques. In 2015, Emanuele met Simone Capitani, an UX Designer of musical applications and they started a new project called “Wizdom Productions” together with Jordan Rudess, the famous keybordist of the everlasting prog-rock band “Dream Theater”. Currently he is also collaborating with Mind Music Labs as iOS developer.

 

FREE
Open to the Public
  • Add new comment
  • Calendar
Syndicate content
  • Home
  • News and Events
    • All Events
      • CCRMA Concerts
      • Colloquium Series
      • DSP Seminars
      • Hearing Seminars
      • Guest Lectures
    • Event Calendar
    • Events Mailing List
    • Recent News
  • Academics
    • Courses
    • Current Year Course Schedule
    • Undergraduate
    • Masters
    • PhD Program
    • Visiting Scholar
    • Visiting Student Researcher
    • Workshops 2022
  • Research
    • Publications
      • Authors
      • Keywords
      • STAN-M
      • Max Mathews Portrait
    • Research Groups
    • Software
  • People
    • Faculty and Staff
    • Students
    • Alumni
    • All Users
  • User Guides
    • New Documentation
    • Booking Events
    • Common Areas
    • Rooms
    • System
  • Resources
    • Planet CCRMA
    • MARL
  • Blogs
  • Opportunities
    • CFPs
  • About
    • The Knoll
      • Renovation
    • Directions
    • Contact

Search this site:

Spring Quarter 2023

Music 101 Introduction to Creating Electronic Sounds
Music 128 Stanford Laptop Orchestra (SLOrk)
Music 220C Research Seminar in Computer-Generated Music
Music 250A Physical Interaction Design for Music 
Music 254 Computational Music Analysis
Music 257 Neuroplasticity and Musical Gaming
Music 264 Musical Engagement
Music 319 Research Seminar on Computational Models of Sound Perception
Music 320C Audio DSP Projects in Faust and C++

 

 

 

   

CCRMA
Department of Music
Stanford University
Stanford, CA 94305-8180 USA
tel: (650) 723-4971
fax: (650) 723-8468
info@ccrma.stanford.edu

 
Web Issues: webteam@ccrma

site copyright © 2009 
Stanford University

site design: 
Linnea A. Williams