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 421–430 of 435 papers

TitleStatusHype
Detecting Agreement in Multi-party Conversational AI—0
Detection and Analysis of Content Creator Collaborations in YouTube Videos using Face- and Speaker-Recognition—0
Differences in Speaker Individualising Information between Case Particles and Fillers in Spoken Japanese—0
Discriminatively Re-trained i-vector Extractor for Speaker Recognition—0
Disentangled representation learning for multilingual speaker recognition—0
Disentangled Speaker Representation Learning via Mutual Information Minimization—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
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Benchmark Results

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