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 251275 of 435 papers

TitleStatusHype
Structural sparsification for Far-field Speaker Recognition with GNA0
STT4SG-350: A Speech Corpus for All Swiss German Dialect Regions0
Study of Pre-processing Defenses against Adversarial Attacks on State-of-the-art Speaker Recognition Systems0
Study on Inter and Intra Speaker Variability in Speaker Recognition0
SUPERB @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning0
SUT Submission for NIST 2016 Speaker Recognition Evaluation: Description and Analysis0
Synth2Aug: Cross-domain speaker recognition with TTS synthesized speech0
Synthetic Speech Source Tracing using Metric Learning0
System Combination for Short Utterance Speaker Recognition0
Tackling the Score Shift in Cross-Lingual Speaker Verification by Exploiting Language Information0
Team HYU ASML ROBOVOX SP Cup 2024 System Description0
Text-To-Speech Synthesis In The Wild0
The 2021 NIST Speaker Recognition Evaluation0
Thech. Report: Genuinization of Speech waveform PMF for speaker detection spoofing and countermeasures0
The CORAL+ Algorithm for Unsupervised Domain Adaptation of PLDA0
The CORAL++ Algorithm for Unsupervised Domain Adaptation of Speaker Recogntion0
The DKU-DukeECE Diarization System for the VoxCeleb Speaker Recognition Challenge 20220
The DKU-DukeECE-Lenovo System for the Diarization Task of the 2021 VoxCeleb Speaker Recognition Challenge0
The DKU-DukeECE System for the Self-Supervision Speaker Verification Task of the 2021 VoxCeleb Speaker Recognition Challenge0
The DKU-MSXF Diarization System for the VoxCeleb Speaker Recognition Challenge 20230
The DKU-MSXF Speaker Verification System for the VoxCeleb Speaker Recognition Challenge 20230
The DKU Replay Detection System for the ASVspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, and Fusion0
The ETAPE speech processing evaluation0
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems0
The Graph feature fusion technique for speaker recognition based on wav2vec2.0 framework0
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Benchmark Results

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