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 161–170 of 435 papers

TitleStatusHype
Convexity-based Pruning of Speech Representation Models—0
Improving on-device speaker verification using federated learning with privacy—0
Improving Noise Robustness In Speaker Identification Using A Two-Stage Attention Model—0
Improving Speech Representation Learning via Speech-level and Phoneme-level Masking Approach—0
Incorporation of Speech Duration Information in Score Fusion of Speaker Recognition Systems—0
Influence of Mother Tongue on English Accent—0
Interpretable Spectrum Transformation Attacks to Speaker Recognition—0
Introducing Model Inversion Attacks on Automatic Speaker Recognition—0
GlobalPhone: Pronunciation Dictionaries in 20 Languages—0
GIST-AiTeR System for the Diarization Task of the 2022 VoxCeleb Speaker Recognition Challenge—0
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Benchmark Results

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