Precision ��
نویسنده
چکیده
As one of the key methods to extract content semantics and structure from audio, automatic audio classification, especially for a speech and a music, is valuable for content-based audio retrieval, video summary and retrieval, and spoken document retrieval, etc. Because hidden Markov model (HMM) can well model audio signal’s time statistical properties, a left-right discrete HMM is proposed to classify a speech, a music and their mixed audio. The experimental results show that HMM is excellent for audio classification, and the optimal classification accuracy is up to 90.28%.
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