Published January 8, 2020 | Version v1
Dataset Open

Speech endpoint annotations and artefact details for ASVspoof 2017 version 2.0 dataset

  • 1. Queen Mary University of London
  • 2. KTH Royal Institute of Technology

Description

This repository contains speech endpoint annotations and filelists for different artefacts we found during our study on the ASVspoof 2017 v2.0 dataset as part of our work in the paper "Dataset biases in speaker verification systems: a case study on the ASVspoof 2017 benchmark" which is to be submitted to the IEEE Transactions on Biometrics, Behavior, and Identity Science (T-BIOM).

 

Files

readme.txt

Files (254.9 kB)

Name Size Download all
md5:3d02fba6f3301c9d90a358da1b952a42
253.6 kB Download
md5:96fb16c225c259a58b6b94b0f6eef17b
1.3 kB Preview Download