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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Research of Speech Signal Acoustic Models for Speaker Recognition |
| Authors Name: | GRETA BORCOVAITE |
| Unique Id: | IJSDR1806017 |
| Published In: | Volume 3 Issue 6, June-2018 |
| Abstract: | The research of speech signal acoustic models for speaker recognition been described in this paper. The aim of this research – to investigate acoustic speech signal models suitable for speaker recognition. In the analytical practical part, voice records were investigated, MFCC features were extracted, acoustic speech signal models were trained and tested. Furthermore, investigation results have shown that components in records distributed differently. The six most common acoustic models components were chosen. The most common voice and background components are different. Statistical analysis has shown that log-likelihoods are not statistically significant different for different languages records when same type and same languages acoustic models were applied. Moreover, log-likelihoods are not statistically significant different for different languages records when English acoustic models were used. Finally, log-likelihoods differ mostly in Spanish and English language records. Increasing the number of English and Spanish records log-likelihoods are statistically significant different when English acoustic models are used. |
| Keywords: | MFCC features, GMM, speaker recognition, acoustic model. |
| Cite Article: | "Research of Speech Signal Acoustic Models for Speaker Recognition ", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.3, Issue 6, page no.78 - 81, June-2018, Available :http://www.ijsdr.org/papers/IJSDR1806017.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR1806017 Registration ID:180375 Published In: Volume 3 Issue 6, June-2018 DOI (Digital Object Identifier): Page No: 78 - 81 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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