Spoof speech classification using deep speaker embeddings and machine learning models

Spoof speech classification using deep speaker embeddings and machine learning models

This paper examines the effectiveness of deep speaker embeddings combined with machine learning classifiers for spoof speech detection. We leverage four state-of-the-art speaker embedding models: X-vector, Emphasized channel attention, propagation and aggregation in time delay neural network (ECAPA-...

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Bibliographic Details
Main Authors: Mohammed Hamzah Alsalihi, Dávid Sztahó
Format: Article
Language:English
Published: Elsevier 2025-09-01
Series:Array
Subjects:
X-vector
ECAPA-TDNN
ResNet-TDNN
WavLM
Speaker embedding
Classification
Online Access:http://www.sciencedirect.com/science/article/pii/S2590005625001213
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http://www.sciencedirect.com/science/article/pii/S2590005625001213

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