科研之友
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摘要
In this letter, we propose an improved speech/nonspeech classification method to effectively classify a multimedia source To improve performance. we introduce a feature based on spectral duration analysis, and combine recently proposed features such as high zero crossing rate ratio (HZCRR). low short tune energy ratio (LSTER). and pitch ratio (PR) According to the results of our experiments on speech. music, and environmental sounds, the proposed method obtained high classification results when compared with conventional approaches
- 出版日期2010-4
