计算机工程2011，Vol.37Issue(2)：151-153,3.DOI:10.3969/j.issn.1000-3428.2011.02.052
最近特征线在音频分类中的应用
Application of Nearest Feature Line in Audio Classification
练芝飞 1徐荣聪1
作者信息
- 1. 福州大学数学与计算机科学学院,福州,350002
- 折叠
摘要
Abstract
This paper constructs the feature set by extracting eight features including perceptual features like pitch frequency, brightness,
bandwidth, zero-crossing rate, loudness, Root Mean Square(RMS), the distance between the adjacent point of the mean value and Mel Frequency
Cepstral Coefficients(MFCC), and proposes an audio classification algorithm based on Nearest Feature Line(NFL). It is applied to classification
experiment with four audio including guns, banger, horn and talks, and the result shows that the algorithm is effective in classification and its error
rate can reduce to 11.76％.关键词
音频分类/最近特征线/音频特征选取/Mel倒谱系数分类
信息技术与安全科学引用本文复制引用
练芝飞,徐荣聪..最近特征线在音频分类中的应用[J].计算机工程,2011,37(2):151-153,3.
