Jump to Navigation

Main menu

  • Login
Home

Secondary menu

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

Music Information Retrieval (MIR) 2018

Workshop Date: 
Mon, 06/25/2018 - Fri, 06/29/2018

 

Steve Tjoa, PhD
Meinard Müller
Brian McFee

                                                                                       CCRMA Summer Workshop Main Page

Description:  How would you "Google for audio", provide music recommendations based your
MP3 files, or have a computer "listen" and understand what you are playing?

This workshop will teach the underlying ideas, approaches, technologies, and practical design of intelligent audio systems using Music Information Retrieval (MIR) algorithms.

MIR is a highly-interdisciplinary field bridging the domains of digital audio signal processing, pattern recognition, software system design, and machine learning. Simply put, MIR algorithms allow a computer to "listen" and "understand or make sense of" audio data, such as MP3s in a personal music collection, live streaming audio, or gigabytes of sound effects, in an effort to reduce the semantic gap between high-level musical information and low-level audio data. In the same way that listeners can recognize the characteristics of sound and music - tempo, key, chord progressions, genre, or song structure - MIR algorithms are capable of recognizing and extracting this information, enabling systems to perform extensive sorting, searching, music recommendation, metadata generation, transcription, and even aiding/generating real-time performance.

This workshop is intended for: students, researchers, and industry audio engineers who are unfamiliar with the field of Music Information Retrieval (MIR). We will demonstrate the myriad of exciting technologies enabled by the fusion of basic signal processing techniques with machine learning and pattern recognition. Lectures will cover topics such as low-level feature extraction, generation of higher-level features such as chord estimations, audio similarity clustering, search, and retrieval techniques, and design and evaluation of machine classification systems. The presentations will be applied, multimedia-rich, overview of the building blocks of modern MIR systems. Our goal is to make the understanding and application of highly-interdisciplinary technologies and complex algorithms approachable.

Knowledge of basic digital audio principles is required.  Experience with a scripting language such as python or matlab is desired. Students are highly encouraged to bring their own audio source material for course labs and demonstrations.

Workshop structure: The workshop will consist of half-day lectures, half-day supervised lab sessions, demonstrations, and discussions. Labs will allow students to design basic ground-up "intelligent audio systems", leveraging existing MIR toolboxes, programming environments, and applications. Labs will include creation and evaluation of basic instrument recognition, transcription, and real-time audio analysis systems.

  • 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 2020
  • 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:

2021 Spring Quarter Courses

Music 70 Stories and Music of Refugees
Music 220A
Fundamentals of Computer-Generated Sound
Music 220C Research Seminar in Computer-Generated Music
Music 223D Sound Practice: Embodiment and the Social
Music 250A Physical Interaction Design
Music 254 Computational Music Analysis (CS275B)
Music 257 Neuroplasticity and Musical Gaming
Music 285 Intermedia Lab
Music 320C Software Projects in Music/Audio Signal Processing
Music 424 Signal Processing Techniques for Digital Audio Effects

 

 

 

   

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