Estimation of Accuracy in Gender Identification Based on Voice Signals Using Different Classifiers
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-6383-4_33
Reference16 articles.
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2. Ramdinmawii E, Mittal VK (2016) Gender identification from speech signal by examining the speech production characteristics. In: 2016 international conference on signal processing and communication (ICSC), 244–249
3. Patil V, Vineetha R, Vatsa S, Shetty DK, Raju A, Naik N, Malarout N (2020) Artificial neural network for gender determination using mandibular morphometric parameters: a comparative retrospective study. Cogent Eng 7:1–12
4. Faragallah OS (2018) Robust noise MKMFCC–SVM automatic speaker identification. Int J Speech Technol 21(2):185–192
5. Nasr MA, Abd-Elnaby M, El-Fishawy AS, El-Rabaie S, El-Samie AFE (2018) Speaker identification based on normalized pitch frequency and mel frequency cepstral coefficients. Int J Speech Technol 21:921–941
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