The Impact of Speaking Style on Speaker Classification Using Mel-Frequency Cepstral Coefficients

This research investigates the impact of different speaking styles (read and spontaneous) on speaker identification accuracy. Mel-Frequency Cepstral Coefficients (MFCCs) were employed as input features, and the Random Forest algorithm was used for classification to evaluate the system's ability to d...

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Detalhes bibliográficos

Autor principal:	Homa Asadi
Formato:	Artigo
Idioma:	Persa
Publicado em:	Alzahra University 2026-04-01
coleção:	زبان پژوهی
Assuntos:	speaker classification read speaking style spontaneous speaking style mel-frequency cepstral coefficients random forest algorithm
Acesso em linha:	https://zabanpazhuhi.alzahra.ac.ir/article_9018_b45462e9849fe980b529214a10eb8275.pdf
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