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 121–130 of 435 papers

TitleStatusHype
Embeddings for DNN speaker adaptive training—0
End-to-end Recurrent Denoising Autoencoder Embeddings for Speaker Identification—0
End-to-end training of time domain audio separation and recognition—0
Enhancing Open-Set Speaker Identification through Rapid Tuning with Speaker Reciprocal Points and Negative Sample—0
Augmentation adversarial training for self-supervised speaker recognition—0
Estimating Uniqueness of I-Vector Representation of Human Voice—0
An Ensemble SVM-based Approach for Voice Activity Detection—0
Fill in the Gap! Combining Self-supervised Representation Learning with Neural Audio Synthesis for Speech Inpainting—0
Audio-visual Speaker Recognition with a Cross-modal Discriminative Network—0
Cross-modal Speaker Verification and Recognition: A Multilingual Perspective—0
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Benchmark Results

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