Conference Paper

A Hierarchical Approach for Audio Stream Segmentation and Classification.

In proceeding of: ISMIR 2005, 6th International Conference on Music Information Retrieval, London, UK, 11-15 September 2005, Proceedings
Source: DBLP

ABSTRACT This paper describes a hierarchical approach for fast audio stream segmentation and classification. With this approach, the audio stream is firstly segmented into au- dio clips by MBCR (Multiple sub-Bands spectrum Cen- troid relative Ratio) based histogram modeling. Then a MGM (Modified Gaussian modeling) based hierarchical classifier is adopted to put the segmented audio clips into six pre-defined categories in terms of discriminative background sounds, which is pure speech, pure music, song, speech with music, speech with noise and silence. The experiments on real TV program recordings showed that this approach has higher accuracy and recall rate for audio classification with a fast speed under noise envi- ronments.

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