February 2014
Beginner to intermediate
288 pages
7h 19m
English
Content preview from Introduction to Audio Analysis
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5
Audio Classification
Abstract
This chapter describes the task of classifying unknown audio segments of “homogeneous content” to a set of predefined audio classes. In particular, theoretical background is provided regarding popular classification methods, including Support Vector Machines, Decision Trees and the 
-Nearest-Neighbor method. The reader is also introduced to generic performance measures and validation methods for the estimation of the performance of a classifier. The chapter concludes with the presentation of performance measurements for a set of typical audio classification tasks.
Keywords
Audio segments
Posterior probability ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.