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 61–70 of 435 papers

TitleStatusHype
LASPA: Language Agnostic Speaker Disentanglement with Prefix-Tuned Cross-Attention—0
Investigating the Reasonable Effectiveness of Speaker Pre-Trained Models and their Synergistic Power for SingMOS Prediction—0
Source Tracing of Synthetic Speech Systems Through Paralinguistic Pre-Trained Representations—0
Pretraining Multi-Speaker Identification for Neural Speaker Diarization—0
Private kNN-VC: Interpretable Anonymization of Converted SpeechCode0
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
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Benchmark Results

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