Speaker Verification Based on Synchronous Speech and Video Features

This study presents a speaker verification method focusing on synchronization of speech and video. The verification is based on the correlation between the output of the model created by estimating video features using 105 dimensions of speech and video features. The method is verified using an equal error rate of 0.15 from synchronous features.