arXiv:1912.06311
Short-duration Speaker Verification (SdSV) Challenge 2021: the Challenge Evaluation Plan
원문 초록
This document describes the Short-duration Speaker Verification (SdSV) Challenge 2021. The main goal of the challenge is to evaluate new technologies for text-dependent (TD) and text-independent (TI) speaker verification (SV) in a short duration scenario. The proposed challenge evaluates SdSV with varying degree of phonetic overlap between the enrollment and test utterances (cross-lingual). It is the first challenge with a broad focus on systematic benchmark and analysis on varying degrees of phonetic variability on short-duration speaker recognition. We expect that modern methods (deep neural networks in particular) will play a key role.
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Asymmetric and trial-dependent modeling: the contribution of LIA to SdSV Challenge Task 2
Universal Pooling Method of Multi-layer Features from Pretrained Models for Speaker Verification
3D-Speaker-Toolkit: An Open-Source Toolkit for Multimodal Speaker Verification and Diarization
ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models
DS-TDNN: Dual-stream Time-delay Neural Network with Global-aware Filter for Speaker Verification
A Comparative Evaluation of Deep Learning Models for Speech Enhancement in Real-World Noisy Environments
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