Artificial intelligence

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ISSN 2710-1673

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Speech Signal Segmentation Based on the Speaker Change

Kryvonos Y.1, Krak U.2, Zagvazdin O.3, Efimov G.4
1 V.M.Glishkov Institute of Cubernetics of NASU
2 Taras Shevchenko National University of Kyiv
3 Glushkov Institute of Cybernetic of NAS of Ukraine
4 V.M. Glushkov Institute of Cybernetic of NAS of Ukraine

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UDC: 004.8
Publication Language: Ukrainian
Stuc. intelekt. 2011; 16(3):167-173

Abstract: An approach to the segmentation of speech signals based on the speaker change, as well as to the detection of the speaker change positions in a speech signal is suggested. Speaker change positions are determined by analyzing the sets of characteristic vectors at the pause within the signal based on the Bayesian information criterion. Improvement in quality of the characteristic vectors is achieved by taking into account only the segments with the log energy above the given threshold. It is also suggested an approach for adaptive automatic pause detection in speech signal.

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