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http://dx.doi.org/10.13067/JKIECS.2017.12.3.485

Scream Sound Detection Based on Universal Background Model Under Various Sound Environments  

Chung, Yong-Joo (Dept. Electronic Engineering, Keimyung University)
Publication Information
The Journal of the Korea institute of electronic communication sciences / v.12, no.3, 2017 , pp. 485-492 More about this Journal
Abstract
GMM has been one of the most popular methods for scream sound detection. In the conventional GMM, the whole training data is divided into scream sound and non-scream sound, and the GMM is trained for each of them in the training process. Motivated by the idea that the process of scream sound detection is very similar to that of speaker recognition, the UBM which has been used quite successfully in speaker recognition, is proposed for use in scream sound detection in this study. We could find that UBM shows better performance than the traditional GMM from the experimental results.
Keywords
Scream Detection; GMM; UBM; Speaker Recognition;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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