An Improved Speech / Nonspeech Classification Based on Feature Combination for Audio Indexing
Ji-Soo Keum, Hyon-Soo LEE, Masafumi Hagiwara · IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences · 2010
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 time 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.