AES San Francisco 2010
Thursday, November 4, 4:30 pm — 6:30 pm (Room 132)
T4 - Do-it-Yourself Semantic Audio
How do you tell music files from speech files? How do you find similar-sounding tracks in an unlabeled collection? Content-based music information retrieval (MIR) and similar applications require advanced algorithms that often overburden non-expert developers. However, many building blocks are available for free and in ready-to-use packaging to significantly ease software development, for instance of similarity search methods, or to serve as components for ad-hoc solutions, for instance in forensics or linguistics. This tutorial looks into a variety of software that helps with the extraction of audio features and/or executes machine learning algorithms. Focusing on solutions that require little to no programming in the classical sense, the tutorial’s major part consists in live demos of hand-picked routes to roll one’s own semantic audio application.