SOTAVerified

Speaker Recognition

Speaker Recognition is the process of identifying or confirming the identity of a person given his speech segments.

Source: Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 161–170 of 435 papers

TitleStatusHype
The 2021 NIST Speaker Recognition Evaluation—0
The NIST CTS Speaker Recognition Challenge—0
Disentangled Speech Representation Learning Based on Factorized Hierarchical Variational Autoencoder with Self-Supervised Objective—0
Robust Speaker Recognition with Transformers Using wav2vec 2.0—0
Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddingsCode1
Curriculum learning for self-supervised speaker verification—0
Training speaker recognition systems with limited dataCode1
To train or not to train adversarially: A study of bias mitigation strategies for speaker recognitionCode0
Pushing the limits of raw waveform speaker recognitionCode3
Speaker recognition by means of a combination of linear and nonlinear predictive models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1w2v2-aamEER1.88—Unverified
2WavLM+ECAPA-TDNNEER0.39—Unverified