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 11–20 of 435 papers

TitleStatusHype
Private kNN-VC: Interpretable Anonymization of Converted SpeechCode0
SEED: Speaker Embedding Enhancement Diffusion ModelCode2
Analysis of ABC Frontend Audio Systems for the NIST-SRE24—0
SoCov: Semi-Orthogonal Parametric Pooling of Covariance Matrix for Speaker Recognition—0
From Dialect Gaps to Identity Maps: Tackling Variability in Speaker Verification—0
Audio-to-Image Encoding for Improved Voice Characteristic Detection Using Deep Convolutional Neural Networks—0
Language Modelling for Speaker Diarization in Telephonic Interviews—0
VoxVietnam: a Large-Scale Multi-Genre Dataset for Vietnamese Speaker Recognition—0
Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution—0
Study on Inter and Intra Speaker Variability in Speaker Recognition—0
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Benchmark Results

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