End-to-End Multi-Modal Speaker Change Detection with Pre-Trained Models

In this work, we propose a multi-modal speaker change detection (SCD) approach with focal loss, which integrates both audio and text features to enhance detection performance. The proposed approach utilizes pre-trained large-scale models for feature extraction and incorporates a self-attention mecha...

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Detalles Bibliográficos

Principais autores:	Alymzhan Toleu, Gulmira Tolegen, Alexandr Pak, Jaxylykova Assel, Bagashar Zhumazhanov
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2025-04-01
Series:	Applied Sciences
Assuntos:	speaker change detection pre-trained model multi-modal
Acceso en liña:	https://www.mdpi.com/2076-3417/15/8/4324
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