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Article

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Title

Recognition of Speaker’s Age Group and Gender for a Large Database of Telephone-Recorded Voices

Authors

Year of publication

2022

Published in

Vibrations in Physical Systems

Journal year: 2022 | Journal volume: vol. 33 | Journal number: no. 2

Article type

scientific article

Publication language

english

Keywords
EN
  • speech processing
  • automatic age recognition
Abstract

EN The paper presents the results of the automatic recognition of age group and gender of speakers performed for the large SpeechDAT(E) acoustic database for the Polish language, containing recordings of 1000 speakers (486 males/514 females) aged 12 to 73, recorded in telephone conditions. Three age groups were recognised for each gender. Mel Frequency Cepstral Coefficients (MFCC) were used to describe the recognized signals parametrically. Among the classification methods tested in this study, the best results were obtained for the SVM (Support Vector Machines) method.

Pages (from - to)

2022203-1 - 2022203-6

DOI

10.21008/j.0860-6897.2022.2.03

URL

https://vibsys.put.poznan.pl/_journal/2022-33-2/articles/vps_2022203.pdf

Comments

article number: 2022203

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Full text of article

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Access level to full text

public

Ministry points / journal

70

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