The Importance and Practical Application of Determining the Age, Gender, and Identity of the Speaker
Year: 2025
Type: article
Abstract: In this work, the issue of automatic determination of the age, gender, and personality of the speaker was analyzed. In this process, Mel frequency kepstral coefficients (MFCC) were used to isolate the property. The classification stage was carried out on the basis of the BiLSTM neural network. The study discusses the effectiveness of this approach in biometric identification systems.
Authors: Babadjanov E., Gaipnazarova L., Gaipnazarova A.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930909983
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