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
VoxSRC 2020: The Second VoxCeleb Speaker Recognition Challenge—0
VoxVietnam: a Large-Scale Multi-Genre Dataset for Vietnamese Speaker Recognition—0
VoxWatch: An open-set speaker recognition benchmark on VoxCeleb—0
Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes—0
WeCanTalk: A New Multi-language, Multi-modal Resource for Speaker Recognition—0
We Need Variations in Speech Generation: Sub-center Modelling for Speaker Embeddings—0
What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis—0
Who is Authentic Speaker—0
Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?—0
Xi-Vector Embedding for Speaker Recognition—0
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Benchmark Results

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