THE IMPORTANCE AND PRACTICAL APPLICATION OF DETERMINING THE AGE, GENDER, AND IDENTITY OF THE SPEAKER

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-05
DOI
https://doi.org/10.5281/zenodo.15634032
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

THE IMPORTANCE AND PRACTICAL APPLICATION OF DETERMINING THE AGE, GENDER, AND IDENTITY OF THE SPEAKER

Zenodo (CERN European Organization for Nuclear Research)
Neuroscience and Neural Engineering
article

THE IMPORTANCE AND PRACTICAL APPLICATION OF DETERMINING THE AGE, GENDER, AND IDENTITY OF THE SPEAKER

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Gender equality
Openalex Percentile: Top 50%
Neuroscience and Neural Engineering
DOIOpen Access PDFOpenAlex
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THE IMPORTANCE AND PRACTICAL APPLICATION OF DETERMINING THE AGE, GENDER, AND IDENTITY OF THE SPEAKER · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS