AN UNSUPERVISED AUDIO SEGMENTATION METHOD USING BAYESIAN INFORMATION CRITERION

Date

2014-05-23

Author

Ozan, Ezgi Can
Tankiz, Seda
Acar, Banu Oskay
Çiloğlu, Tolga

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Audio segmentation is a well-known problem which can be considered from various angles. In the context of this paper, audio segmentation problem is to extract small "homogeneous" pieces of audio in which the content does not change in terms of the present audio events. The proposed method is compared with the well-known segmentation method; Bayesian Information Criterion (BIC) based Divide-and-Conquer, in terms of average segment duration and computational complexity.

Subject Keywords

Audio Segmentation, Bayesian Information Criterion, Energy Based Segmentation

URI

https://hdl.handle.net/11511/53483

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

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Citation Formats

E. C. Ozan, S. Tankiz, B. O. Acar, and T. Çiloğlu, “AN UNSUPERVISED AUDIO SEGMENTATION METHOD USING BAYESIAN INFORMATION CRITERION,” 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53483.