ASVtorch toolkit: Speaker verification with deep neural networks

SoftwareX

Ville Vestman¹  Tomi Kinnunen¹  Kong Aik Lee² 

[1] Computational Speech Group, University of Eastern Finland, Finland;Institute for Infocomm Research, A*STAR, Singapore;

关键词: Speaker recognition;    PyTorch;    Deep learning;   

DOI  :  

来源: DOAJ

【 摘 要 】

The human voice differs substantially between individuals. This facilitates automatic speaker verification (ASV) — recognizing a person from his/her voice. ASV accuracy has substantially increased throughout the past decade due to recent advances in machine learning, particularly deep learning methods. An unfortunate downside has been substantially increased complexity of ASV systems. To help non-experts to kick-start reproducible ASV development, a state-of-the-art toolkit implementing various ASV pipelines and functionalities is required. To this end, we introduce a new open-source toolkit, ASVtorch, implemented in Python using the widely used PyTorch machine learning framework.

【 授权许可】

Unknown