Text-dependent Speaker Verification (TdSV) Challenge 2024: Challenge Evaluation Plan

TL;DR

The TdSV Challenge 2024 aims to foster innovative research in text-dependent speaker verification by encouraging novel approaches like multi-task and self-supervised learning, with a focus on developing competitive systems and comprehensive analysis.

Contribution

This challenge introduces a platform for advancing text-dependent speaker verification through exploration of new learning paradigms and comprehensive evaluation methods.

Findings

Encourages development of competitive speaker verification systems

Promotes exploration of multi-task and self-supervised learning approaches

Aims to establish new benchmarks for text-dependent speaker verification

Abstract

This document outlines the Text-dependent Speaker Verification (TdSV) Challenge 2024, which centers on analyzing and exploring novel approaches for text-dependent speaker verification. The primary goal of this challenge is to motive participants to develop single yet competitive systems, conduct thorough analyses, and explore innovative concepts such as multi-task learning, self-supervised learning, few-shot learning, and others, for text-dependent speaker verification.