VoxSRC 2019: The first VoxCeleb Speaker Recognition Challenge

Abstract

The VoxCeleb Speaker Recognition Challenge 2019 aimed to assess how well current speaker recognition technology is able to identify speakers in unconstrained or `in the wild' data. It consisted of: (i) a publicly available speaker recognition dataset from YouTube videos together with ground truth annotation and standardised evaluation software; and (ii) a public challenge and workshop held at Interspeech 2019 in Graz, Austria. This paper outlines the challenge and provides its baselines, results and discussions.

ISCA Archive

References in corpus (3)

• VoxCeleb2: Deep Speaker Recognition
• VoxCeleb: a large-scale speaker identification dataset
• BUT System Description to VoxCeleb Speaker Recognition Challenge 2019

Cited by in corpus (13)

• ECAPA-TDNN: Emphasized Channel Attention, Propagation and Aggregation in TDNN Based Speaker Verification
• Clova Baseline System for the VoxCeleb Speaker Recognition Challenge 2020
• VoxSRC 2020: The Second VoxCeleb Speaker Recognition Challenge
• Integrating Frequency Translational Invariance in TDNNs and Frequency Positional Information in 2D ResNets to Enhance Speaker Verification
• The VoxCeleb Speaker Recognition Challenge: A Retrospective
• EfficientTDNN: Efficient Architecture Search for Speaker Recognition
• Lightweight Speaker Verification for Online Identification of New Speakers with Short Segments
• Generalizing Speaker Verification for Spoof Awareness in the Embedding Space
• The xx205 System for the VoxCeleb Speaker Recognition Challenge 2020
• Beijing ZKJ-NPU Speaker Verification System for VoxCeleb Speaker Recognition Challenge 2021
• End-to-end Multichannel Speaker-Attributed ASR: Speaker Guided Decoder and Input Feature Analysis
• ShaneRun System Description to VoxCeleb Speaker Recognition Challenge 2020
• Towards Robust Speaker Verification with Target Speaker Enhancement