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 191–200 of 435 papers

TitleStatusHype
Dynamic Recognition of Speakers for Consent Management by Contrastive Embedding Replay—0
Baselines and Protocols for Household Speaker RecognitionCode0
Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?—0
Graph Convolutional Network Based Semi-Supervised Learning on Multi-Speaker Meeting Data—0
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
Curriculum learning for self-supervised speaker verification—0
To train or not to train adversarially: A study of bias mitigation strategies for speaker recognitionCode0
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Benchmark Results

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