MathCS Seminar

Title: Music Information Retrieval
Colloquium: Department
Speaker: Davide Fossati of Carnegie Mellon University in Qatar
Contact: Ken Mandelberg,
Date: 2015-04-10 at 3:00PM
Venue: W303
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What does it take to build a search engine for sound and music? How can computers "listen" to music and understand what you are playing? Currently, the most successful and widespread technologies for organizing and searching for information are based on text. Instead, the emerging field of Music Information Retrieval focuses on technology that operates directly on audio signals without relying on textual annotation. In this presentation I will give a brief overview of Music Information Retrieval: foundational ideas, methodology, and applications. We will see how sound can be represented, segmented, converted into a set of features, and classified.

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