[ml] Last Call for Participation: CCRMA MIR Workshop 2012
stjoa at izotope.com
Fri Jun 22 16:41:09 UTC 2012
Hello Noisebridge ML,
Earlier, I sent a call for participation in the Music Information Retrieval
Workshop at Stanford's CCRMA. With the workshop beginning next Monday, the
following message is the last call for participation.
We hope to see you there!
For those you in the San Francisco Bay Area, we have a few more spots
available for next week's MIR Workshop at Stanford's CCRMA. It's a
one-week intensive crash course in music and audio information retrieval.
Please email me directly for additional info!
9-5 PM. Mon, 06/25/2011 - Fri, 06/29/2011
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. Familiarity with
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.
On Tue, Jun 12, 2012 at 10:46 AM, Steve Tjoa <stjoa at izotope.com> wrote:
> Hello Noisebridge ML,
> I've noticed some interest on this list related to music information
> retrieval (MIR) and machine listening. Perhaps some of you may be
> interested in an upcoming workshop at Stanford's CCRMA entitled
> "Intelligent Audio Systems: Foundations and Applications of Music
> Information Retrieval".
> During this workshop, we talk about the basic techniques involved in tasks
> such as the following:
> - music classification (e.g. distinguishing among musical rhythms,
> instruments, genres, voices)
> - transcription (the process of going from a musical waveform to a
> discretized symbolic representation)
> - search and recommendation (given an audio excerpt, find similar excerpts)
> - segmentation (identify coherent verses in a song)
> - feature extraction from musical signals
> - ... and more!
> The workshop is five days, June 25-29. Each day consists of a morning
> lecture/discussion followed by an afternoon lab session. We will use
> computing tools and open-source libraries frequently used by MIR
> researchers and practitioners.
> It's a lot of fun! I think that all of the previous workshop participants
> have had a great time. Aside from learning and making new things, you get
> to meet new people and enjoy the surroundings of CCRMA and Stanford for one
> For more information, including registration, see here:
> For a link to last year's workshop wiki, see here:
> If you have any questions, please feel free to email me at this address,
> stjoa at izotope.com.
> Hope to see you there!
> Steve Tjoa
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