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
An Effortless Way To Create Large-Scale Datasets For Famous Speakers—0
GlobalPhone: Pronunciation Dictionaries in 20 Languages—0
New bilingual speech databases for audio diarization—0
The ETAPE speech processing evaluation—0
Constrained speaker linking—0
Bayesian calibration for forensic evidence reporting—0
A comparison of linear and non-linear calibrations for speaker recognition—0
Differences in Speaker Individualising Information between Case Particles and Fillers in Spoken Japanese—0
結合I-Vector 及深層神經網路之語者驗證系統 (Text-independent Speaker Verification using a Hybrid I-Vector/DNN Approach) [In Chinese]—0
Likelihood-ratio calibration using prior-weighted proper scoring rules—0
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Benchmark Results

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