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Found 7 papers, 0 papers with code
Post-Training Embedding Alignment for Decoupling Enrollment and Runtime Speaker Recognition Models
Automated speaker identification (SID) is a crucial step for the personalization of a wide range of speech-enabled services.
Tackling the Score Shift in Cross-Lingual Speaker Verification by Exploiting Language Information
This paper contains a post-challenge performance analysis on cross-lingual speaker verification of the IDLab submission to the VoxCeleb Speaker Recognition Challenge 2021 (VoxSRC-21).
The IDLAB VoxCeleb Speaker Recognition Challenge 2021 System Description
The final system fusion with two ECAPA CNN-TDNNs and three SE-ResNets enhanced with frequency positional information achieved a third place on the VoxSRC-21 leaderboard for both track 1 and 2 with a minDCF of 0. 1291 and 0. 1313 respectively.
Robust Acoustic Scene Classification in the Presence of Active Foreground Speech
We show that the use of noise-floor features is complementary to multi-condition training in which foreground speech is added to training signal to reduce the mismatch between training and testing conditions.
Integrating Frequency Translational Invariance in TDNNs and Frequency Positional Information in 2D ResNets to Enhance Speaker Verification
These learnable feature map biases along the frequency axis offer this architecture a straightforward way to exploit frequency positional information.
ECAPA-TDNN Embeddings for Speaker Diarization
Learning robust speaker embeddings is a crucial step in speaker diarization.
Cross-Lingual Speaker Verification with Domain-Balanced Hard Prototype Mining and Language-Dependent Score Normalization
In this paper we describe the top-scoring IDLab submission for the text-independent task of the Short-duration Speaker Verification (SdSV) Challenge 2020.
