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 111–120 of 435 papers

TitleStatusHype
Disentangled representation learning for multilingual speaker recognition—0
Discriminatively Re-trained i-vector Extractor for Speaker Recognition—0
Building and Evaluation of a Real Room Impulse Response Dataset—0
Disentangled Speech Embeddings using Cross-modal Self-supervision—0
Disentangled Speech Representation Learning Based on Factorized Hierarchical Variational Autoencoder with Self-Supervised Objective—0
Disentangling Voice and Content with Self-Supervision for Speaker Recognition—0
Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation—0
Dr-Vectors: Decision Residual Networks and an Improved Loss for Speaker Recognition—0
A Novel Speech Feature Fusion Algorithm for Text-Independent Speaker Recognition—0
A Lightweight Speaker Recognition System Using Timbre Properties—0
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Benchmark Results

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