Baselines and Protocols for Household Speaker Recognition
Abstract
Speaker recognition on household devices, such as smart speakers, features several challenges: (i) robustness across a vast number of heterogeneous domains (households), (ii) short utterances, (iii) possibly absent speaker labels of the enrollment data (passive enrollment), and (iv) presence of unknown persons (guests). While many commercial products exist, there is less published research and no publicly-available evaluation protocols or open-source baselines. Our work serves to bridge this gap by providing an accessible evaluation benchmark derived from public resources (VoxCeleb and ASVspoof 2019 data) along with a preliminary pool of open-source baselines. This includes four algorithms for active enrollment (speaker labels available) and one algorithm for passive enrollment.
Keywords
Cite
@article{arxiv.2205.00288,
title = {Baselines and Protocols for Household Speaker Recognition},
author = {Alexey Sholokhov and Xuechen Liu and Md Sahidullah and Tomi Kinnunen},
journal= {arXiv preprint arXiv:2205.00288},
year = {2022}
}
Comments
Accepted to Odyssey 2022