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

원문 초록

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.

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arXiv:2506.14153공통 태그 Self-Supervised Learning, Speaker Verification공식 코드 · Papers with Code 등록 2025-06-17

Pushing the Performance of Synthetic Speech Detection with Kolmogorov-Arnold Networks and Self-Supervised Learning Models

arXiv:2505.14561공통 태그 Self-Supervised Learning, Speaker Verification공식 코드 · Papers with Code 등록 2025-05-20

SSPS: Self-Supervised Positive Sampling for Robust Self-Supervised Speaker Verification

arXiv:2505.12482공통 태그 Self-Supervised Learning, Few-Shot Learning공식 코드 · Papers with Code 등록 2025-05-18

Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image Classification

arXiv:2506.20282공통 태그 Self-Supervised Learning, Multi-Task Learning 등록 2025-06-25

Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration

arXiv:2506.17694공통 태그 Self-Supervised Learning, Speaker Verification 등록 2025-06-21

SSAVSV: Towards Unified Model for Self-Supervised Audio-Visual Speaker Verification

arXiv:2506.06718공통 태그 Self-Supervised Learning, Multi-Task Learning 등록 2025-06-07

IQFM A Wireless Foundational Model for I/Q Streams in AI-Native 6G

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