Academic Commons

Articles

Features for segmenting and classifying long-duration recordings of "personal" audio

Ellis, Daniel P. W.; Lee, Keansub

A digital recorder weighing ounces and able to record for more than ten hours can be bought for a few hundred dollars. Such devices make possible continuous recordings of "personal audio" - storing essentially everything heard by the owner. Without automatic indexing, however, such recordings are almost useless. In this paper, we describe some experiments with recordings of this kind, focusing on the problem of segmenting the recordings into different "episodes" corresponding to different acoustic environments experienced by the device. We describe several novel features to describe 1-minute-long frames of audio, and investigate their effectiveness at reproducing hand-labeled ground-truth segment boundaries.

Files

Also Published In

Title
ISCA Tutorial and Research Workshop on Statistical and Perceptual Audio Processing, ICC Jeju, Korea, October 3, 2004

More About This Work

Academic Units
Electrical Engineering
Publisher
International Speech Communication Association
Published Here
June 28, 2012
Academic Commons provides global access to research and scholarship produced at Columbia University, Barnard College, Teachers College, Union Theological Seminary and Jewish Theological Seminary. Academic Commons is managed by the Columbia University Libraries.