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Music Information Retrieval

June 25, 2018 - June 29, 2018

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.

Details

Start:
June 25, 2018
End:
June 29, 2018
Event Categories:
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Website:
https://ccrma.stanford.edu/workshops/mir-2018

Organizer

Stanford University Dept of Music CCRMA
Email:
wkeats@stanford.edu
Website:
https://ccrma.stanford.edu/

Venue

CCRMA Stage, Stanford University
660 Lomita Ct
Stanford, CA 94305 United States
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Website:
https://ccrma.stanford.edu/