COJ Reviews & Research

A New Method for End-to-End Spoof Speech Detection

  • Open or CloseJianwu Zhang* and Chen Jia

    School of Communication Engineering, Hangzhou Dianzi University, China

    *Corresponding author:Jianwu Zhang, School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China

Submission: February 13, 2023; Published: May 5, 2023

DOI: 10.31031/COJRR.2022.04.000594

ISSN: 2639-0590
Volume4 Issue4


With the rapid development of speech synthesis and speech conversion technology, methods of spoof speech detection still have problems such as low spoof detection accuracy and poor generality. Therefore, an end-to-end spoof detection method based on context information and attention feature was proposed. Based on Deep Residual Shrinkage Network (DRSN), this method used the Dual-branch Context information Coordination fusion Module (DCCM) to aggregate rich context information, and fused features based on Coordinate Time-Frequency Attention (CTFA) to obtain cross-dimensional interaction features with context information, thus maximizing the potential of capturing artifacts.

Keywords:Spoof speech detection; Context information; Attention feature; End-to-End; Artifacts

Get access to the full text of this article