Multi-label Ferns for Efficient Recognition of Musical Instruments in Recordings
Machine Learning
2014-04-01 v1 Sound
Abstract
In this paper we introduce multi-label ferns, and apply this technique for automatic classification of musical instruments in audio recordings. We compare the performance of our proposed method to a set of binary random ferns, using jazz recordings as input data. Our main result is obtaining much faster classification and higher F-score. We also achieve substantial reduction of the model size.
Keywords
Cite
@article{arxiv.1403.7746,
title = {Multi-label Ferns for Efficient Recognition of Musical Instruments in Recordings},
author = {Miron B. Kursa and Alicja A. Wieczorkowska},
journal= {arXiv preprint arXiv:1403.7746},
year = {2014}
}