BriefGPT.xyz
Nov, 2014
声学场景分类
Acoustic Scene Classification
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Daniele Barchiesi, Dimitrios Giannoulis, Dan Stowell, Mark D. Plumbley
TL;DR
介绍声音场景分类中的一些当前前沿、定义一个标准框架,并提供各种不同算法、提交给数据挑战以及评估人类分类准确性的表现,最终得出三种算法显著优于基准方法,但在某些场景下算法和人类都会出现误差。
Abstract
In this article we present an account of the state-of-the-art in
acoustic scene classification
(
asc
), the task of classifying environments from the sounds they produce. Starting from a historical review of previo
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