ICASSP 2021 -- small footprint text-independent speaker verification for embedded systems
Channel: DreamerMind
Date: 2021-06-13

Authors: Julien Balian, Raffaele Tavarone, Mathieu Poumeyrol, Alice Coucke



We propose a small footprint text-independent speaker verification architecture suited for embedded systems.

 VoxCeleb1 verification test: 3.31% EER 
 VOiCES 2019 challenge: 7.47% EER

Our architecture of 237.5k learning parameters and 11.5 MFLOPS is composed of:
 QuartzNet with Max Feature Map
 a simplified GVLAD aggregation stage

Computational and latency analysis highlights the benefit of partial streaming in this task.

Here is a link to the full paper: https://arxiv.org/abs/2011.01709

Work done at SONOS working with my colleagues and coauthors in the Voice Experience Team.