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

Showing 151175 of 435 papers

TitleStatusHype
Graph-based Label Propagation for Semi-Supervised Speaker Identification0
Graph Neural Network Backend for Speaker Recognition0
"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World0
Computer-assisted Speaker Diarization: How to Evaluate Human Corrections0
Human and Machine Speaker Recognition Based on Short Trivial Events0
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences0
I4U System Description for NIST SRE'20 CTS Challenge0
Improved Deep Speaker Feature Learning for Text-Dependent Speaker Recognition0
GlobalPhone: Pronunciation Dictionaries in 20 Languages0
Improving Fairness in Speaker Recognition0
Convexity-based Pruning of Speech Representation Models0
Improving on-device speaker verification using federated learning with privacy0
Improving Noise Robustness In Speaker Identification Using A Two-Stage Attention Model0
Improving Speech Representation Learning via Speech-level and Phoneme-level Masking Approach0
Incorporation of Speech Duration Information in Score Fusion of Speaker Recognition Systems0
Influence of Mother Tongue on English Accent0
Interpretable Spectrum Transformation Attacks to Speaker Recognition0
Introducing Model Inversion Attacks on Automatic Speaker Recognition0
GIST-AiTeR System for the Diarization Task of the 2022 VoxCeleb Speaker Recognition Challenge0
Investigating Prosodic Signatures via Speech Pre-Trained Models for Audio Deepfake Source Attribution0
Investigating the Reasonable Effectiveness of Speaker Pre-Trained Models and their Synergistic Power for SingMOS Prediction0
Investigation of Speaker Representation for Target-Speaker Speech Processing0
Investigation of Using VAE for i-Vector Speaker Verification0
iQIYI-VID: A Large Dataset for Multi-modal Person Identification0
Comparison of Multiple Features and Modeling Methods for Text-dependent Speaker Verification0
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Benchmark Results

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