Recognition of Speaker’s Age Group and Gender for a Large Database of Telephone-Recorded Voices
2022
scientific article
english
- speech processing
- automatic age recognition
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.
2022203-1 - 2022203-6
article number: 2022203
CC BY (attribution alone)
open journal
final published version
public
70