Speaker age and gender classification using GMM supervector and NAP channel compensation method
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02045-4.pdf
Reference24 articles.
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2. Bakir C (2016) Automatic speaker gender identification for the german language. Balk J Electr Comput Eng 4:79–83. https://doi.org/10.17694/bajece.43067
3. Bhukya S (2018) Effect of gender on improving speech recognition system. Int J Comput Appl 179:22–30. https://doi.org/10.5120/ijca2018916200
4. Büyük O, Arslan LM (2019) An investigation of multi-language age classification from voice. 12th Int Conf Bio-Inspired Syst Signal Process BIOSIGNALS 2019 Part 12th Int Jt Conf Biomed Eng Syst Technol BIOSTEC. https://doi.org/10.5220/0007237600850092
5. Campbell WM, Sturim DE, Reynolds DA, Solomonoff A (2006) SVM based speaker verification using a GMM supervector kernel and NAP variability compensation. ICASSP IEEE Int Conf Acoust Speech Signal Process Proc 1:97–100. https://doi.org/10.1109/icassp.2006.1659966
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