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

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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Bibliographic Details
Main Authors: Alymzhan Toleu, Gulmira Tolegen, Alexandr Pak, Jaxylykova Assel, Bagashar Zhumazhanov
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Applied Sciences
Subjects:
speaker change detection
pre-trained model
multi-modal
Online Access:https://www.mdpi.com/2076-3417/15/8/4324
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