Jump to Navigation

Main menu

  • Login
Home

Secondary menu

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

DawDreamer: Bridging the Gap Between Digital Audio Workstations and Python Interfaces

Submitted by braun on Wed, 12/01/2021 - 4:44pm
TitleDawDreamer: Bridging the Gap Between Digital Audio Workstations and Python Interfaces
Publication TypeSoftware
Year of Publication2021
AuthorsBraun, D.
AbstractAudio production techniques which previously only existed in GUI-constrained digital audio workstations, livecoding environments, or C++ APIs are now accessible with our new Python module called DawDreamer. DawDreamer therefore bridges the gap between real sound engineers and coders imitating them with offline batch-processing. Like contemporary modules in this domain, DawDreamer can create directed acyclic graphs of audio processors such as VSTs which generate or manipulate audio streams. DawDreamer can also dynamically compile and execute code from Faust, a powerful signal processing language which can be deployed to many platforms and microcontrollers. We discuss DawDreamer's unique features in detail and potential applications across music information retrieval including source separation, transcription, and audio effect parameter inference. We provide fully cross-platform PyPI installers, a Linux Dockerfile, and an example Jupyter notebook.
URLhttps://arxiv.org/abs/2111.09931
Computer 
Short TitleDawDreamer
Full Text 
  • Tagged
  • XML
  • BibTex
  • Google Scholar
  • 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:

Fall Courses at CCRMA

Music 32N Sculpting with Sounds, Images and Words
Music 101 Introduction to Creating Electronic Sounds
Music 153A Soundwire Ensemble
Electric Music Composition
Music 192A Foundations in Sound Recording Technology
Music 201 CCRMA Colloquium
Music 220A Foundations of Computer-Generated Sound
Music 220D Research Topics in Computer Music
Music 256A Music, Computing, and Design I: Software Paradigms for Computer Music
Music 264 Musical Engagement
Music 285 Intermedia Lab
Music 319 Research Seminar on Computational Models of Sound Perception
Music 320 Introduction to Audio Signal Processing
Music 320D Tutorial on Audio Signal Processing for Musicians
Music 322 Music/Audio Signal Processing Research Overview
Music 351A Research Seminar in Music Perception and Cognition I
Music 451A Auditory EEG Research I

 

 

 

   

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