Research of Speech Signal Acoustic Models for Speaker Recognition
MFCC features, GMM, speaker recognition, acoustic model.
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.
"Research of Speech Signal Acoustic Models for Speaker Recognition ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 6, page no.78 - 81, June-2018, Available :https://ijsdr.org/papers/IJSDR1806017.pdf
Volume 3
Issue 6,
June-2018
Pages : 78 - 81
Paper Reg. ID: IJSDR_180375
Published Paper Id: IJSDR1806017
Downloads: 000347207
Research Area: Engineering
Country: SUNNY ISLES BEACH, Florida, United States
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
