Statistically Significant Duration-Independent-based Noise-Robust Speaker Verification

A speaker verification system models individual speakers using different speech features to improve their robustness. However, redundant features degrade the system's performance. This paper presents Statistically Significant Duration-Independent Mel frequency Cepstral Coefficients (SSDI-MFCC) featu...

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Библиографические подробности

Главные авторы:	Asmita Nirmal, Deepak Jayaswal, Pramod H. Kachare
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Ram Arti Publishers 2024-02-01
Серии:	International Journal of Mathematical, Engineering and Management Sciences
Предметы:	extreme gradient boost feature selection mel-frequency cepstral coefficients speaker verification
Online-ссылка:	https://www.ijmems.in/cms/storage/app/public/uploads/volumes/8-IJMEMS-23-0206-9-1-147-162-2024.pdf
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