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Updated: Jan 31, 2026

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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一个混合CNN和强化学习框架用于使用Mel-Spectrogram和连续波幅转换功能的扬声器识别

Fereshteh Manafzadeh Heir1, Hossein Najafzadeh2, Sarvenaz Erfani3

  • 1Department of Computer Engineering, Faculty of Electrical and Computer Engineering, Semnan University, Semnan, Iran.

Scientific reports
|January 29, 2026
PubMed
概括

本研究介绍了一种混合深度学习模型用于扬声器识别,其性能优于传统方法. 带有注意力机制的Mel光谱图提供了卓越的声音特征提取,用于强大的生物识别身份验证.

关键词:
声学特征分析的分析.生物识别身份验证的真实性连续波形变换连续波形变换.卷积神经网络是一种卷积神经网络.深度强化学习的学习.这是一个Mel光谱图.扬声器识别 扬声器识别

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