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 51–60 of 435 papers

TitleStatusHype
Speaker Characterization by means of Attention Pooling—0
Who is Authentic Speaker—0
Certification of Speaker Recognition Models to Additive PerturbationsCode0
Artificial Neural Networks to Recognize Speakers Division from Continuous Bengali Speech—0
TIMIT Speaker Profiling: A Comparison of Multi-task learning and Single-task learning Approaches—0
Voice Conversion Augmentation for Speaker Recognition on Defective Datasets—0
3D-Speaker-Toolkit: An Open-Source Toolkit for Multimodal Speaker Verification and Diarization—0
Asymmetric and trial-dependent modeling: the contribution of LIA to SdSV Challenge Task 2—0
Cosine Scoring with Uncertainty for Neural Speaker Embedding—0
ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf modelsCode3
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Benchmark Results

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