Abstract

In this article, deep learning is investigated in the formulated problem of age and gender classification based on a person's speech. We conducted theoretical research of the effectiveness of the methods currently used to identify and verify a person by voice and explored methods of audio preprocessing. The system uses a software package that consists of several interconnected convolutional neural networks. Also, we used open data to train our classification algorithm. In conclusion, we conducted an experiment to analyze the effectiveness of the algorithm in the problem of age and gender classification.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.