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http://dx.doi.org/10.7776/ASK.2009.28.3.273

Speech and Music Discrimination Using Spectral Transition Rate  

Yang, Kyong-Chul (고려대학교 컴퓨터학과)
Bang, Yong-Chan (고려대학교 컴퓨터학과)
Cho, Sun-Ho (고려대학교 컴퓨터학과)
Yook, Dong-Suk (고려대학교 컴퓨터학과)
Publication Information
The Journal of the Acoustical Society of Korea / v.28, no.3, 2009 , pp. 273-278 More about this Journal
Abstract
In this paper, we propose the spectral transition rate (STR) as a novel feature for speech and music discrimination (SMD). We observed that the spectral peaks of speech signal are gradually changing due to coarticulation effect. However, the sound of musical instruments in general tends to keep the peak frequencies and energies unchanged for relatively long period of time compared to speech. The STR of speech is much higher than that of music. The experimental results show that the STR based SMD method outperforms a conventional method. Especially, the STR based SMD gives relatively fast output without any performance degradation.
Keywords
Speech and music discrimination; Spectral transition rate;
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