Real-time speech/music classification with a hierarchical oblique decision tree

• Published in: 2008 IEEE International Conference on Acoustics, Speech and Signal Processing pp. 2033 - 2036
• Main Authors: Jun Wang, Qiong Wu, Haojiang Deng, Qin Yan
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-03-2008
• Subjects: Classification algorithms; Classification tree analysis; Decision trees; Delay; Frequency domain analysis; Frequency selective surfaces; FSS; harmonic structure; hierarchical oblique decision tree; Multiple signal classification; Music; signal classification; Speech; Stability
• ISBN: 9781424414833; 1424414830
• ISSN: 1520-6149; 2379-190X
• DOI: 10.1109/ICASSP.2008.4518039

In the problem of classification of audio signals, the requirements of low-complexity, high-accuracy and short delay are crucial for some practical scenarios. This paper proposes a method of real-time speech/music classification with a hierarchical oblique decision tree. A set of discrimination features in frequency domain are selected together with a proposed simple harmonic structure stability feature, which is based on a rough estimation of the harmonic structure. A feature subset selection tool is used to select a subset of short and long term features to feed into a hierarchical oblique decision tree classifier. The method is evaluated and compared with the open loop selection mode in AMR-WB+. Experiments show the proposed approach gives a better performance (98.3%) compared to other prevailing approaches. In particular, it comes with promising short delay of 10 ms and low complexity of 1 wmops.