AN UNSUPERVISED AUDIO SEGMENTATION METHOD USING BAYESIAN INFORMATION CRITERION

Ozan E. C., Tankiz S., Acar B. O., ÇİLOĞLU T.

6th International Symposium on Communications, Control and Signal Processing (ISCCSP), Athens, Yunanistan, 21 - 23 Mayıs 2014, ss.640-643 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Athens
  • Basıldığı Ülke: Yunanistan
  • Sayfa Sayıları: ss.640-643
  • Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

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.