AN UNSUPERVISED AUDIO SEGMENTATION METHOD USING BAYESIAN INFORMATION CRITERION

Date

2014-05-23

Author

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

Metadata

Show full item record

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

Item Usage Stats

122
views

0
downloads

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

Suggestions

OpenMETU
Core

A Graph-Based Approach for Video Scene Detection Sakarya, Ufuk; Telatar, Zjya (2008-04-22) In this paper, a graph-based method for video scene detection is proposed. The method is based on a weighted undirected graph. Each shot is a vertex on the graph. Edge weights among the vertices are evaluated by using spatial and temporal similarities of shots. By using the complete information of the graph, a set of the vertices mostly similar to each other and dissimilar to the others is detected. Temporal continuity constraint is achieved on this set. This set is the first detected video scene. The verti...
A Practical alignment algorithm for Cassegrain type telescopes Benli Öztürk, Esra; Esendemir, Akif; Department of Physics (2012) Focal plane corrected Cassegrain type optical systems have been widely used in various fields. The axial alignment of complex optical systems is not easy and a practical alignment method is needed for such systems. Tilts, decenters and axial motion of elements or group of elements in the system are the typical alignment parameters. Interferometric measurement is an effective way to see the errors caused by the misalignment of each element in an optical system. In this thesis, alignment of a Cassegrain type ...
A new method for signal interpolation Tuncer, Temel Engin (2006-04-19) Interpolation is an important problem of signal processing. Even though there are several methods for interpolation, it is still an open problem. In this paper, we propose a new method for interpolation with certain advantages compared to the previous methods. The proposed method is based on the least squares error optimum design of the interpolating filter. Interpolating filter is chosen as the Kaiser filter since it can be configured in a variety of shapes by the appropriate choice of cut-off and shape pa...
A financial cost metric for result caching Sazoglu, Fethi Burak; Cambazoglu, B. Barla; Ozcan, Rifat; Altıngövde, İsmail Sengör; Ulusoy, Özgür (2013-09-02) Interpolation is an important problem of signal processing. Even though there are several methods for interpolation, it is still an open problem. In this paper, we propose a new method for interpolation with certain advantages compared to the previous methods. The proposed method is based on the least squares error optimum design of the interpolating filter. Interpolating filter is chosen as the Kaiser filter since it can be configured in a variety of shapes by the appropriate choice of cut-off and shape pa...
A Space-Time Coded Mills Cross MIMO Architecture to Improve DOA Estimation and Its Performance Evaluation by Field Experiments Ungan, Cahit Ugur; Candan, Çağatay; Çiloğlu, Tolga (2020-06-01) Conventional Mills Cross architecture suffers from poor direction-of-arrival angle estimation accuracy in the dimension that the transmitter is aligned. To improve the estimation accuracy, a space-time coded, multiple-input multiple-output (MIMO) direction finding method, with complementary codes is presented. The performance of the suggested MIMO Mills Cross architecture has been evaluated by underwater field experiments. Field experiments confirm the feasibility of the proposed approach and illustrate the...

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.