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

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Showing 231–240 of 435 papers

TitleStatusHype
Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation—0
Representation Learning to Classify and Detect Adversarial Attacks against Speaker and Speech Recognition Systems—0
Pretext Tasks selection for multitask self-supervised speech representation learningCode0
What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis—0
Fusion of Embeddings Networks for Robust Combination of Text Dependent and Independent Speaker Recognition—0
Graph-based Label Propagation for Semi-Supervised Speaker Identification—0
PF-Net: Personalized Filter for Speaker Recognition from Raw WaveformCode0
Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework—0
Improving Fairness in Speaker Recognition—0
Conditional independence for pretext task selection in Self-supervised speech representation learningCode0
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Benchmark Results

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