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 291–300 of 435 papers

TitleStatusHype
Neural i-vectors—0
Towards Relevance and Sequence Modeling in Language Recognition—0
AM-MobileNet1D: A Portable Model for Speaker RecognitionCode1
End-to-end Recurrent Denoising Autoencoder Embeddings for Speaker Identification—0
Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems—0
An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic EnvironmentsCode0
Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition ModelsCode1
Disentangled Speech Embeddings using Cross-modal Self-supervision—0
Deep Speaker Embeddings for Far-Field Speaker Recognition on Short Utterances—0
x-vectors meet emotions: A study on dependencies between emotion and speaker recognition—0
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Benchmark Results

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