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 21–30 of 435 papers

TitleStatusHype
Multi-View Multi-Task Modeling with Speech Foundation Models for Speech Forensic Tasks—0
Investigation of Speaker Representation for Target-Speaker Speech Processing—0
The OCON model: an old but green solution for distributable supervised classification for acoustic monitoring in smart cities—0
Enhancing Open-Set Speaker Identification through Rapid Tuning with Speaker Reciprocal Points and Negative Sample—0
Avengers Assemble: Amalgamation of Non-Semantic Features for Depression Detection—0
Are Music Foundation Models Better at Singing Voice Deepfake Detection? Far-Better Fuse them with Speech Foundation Models—0
Speaker-IPL: Unsupervised Learning of Speaker Characteristics with i-Vector based Pseudo-Labels—0
oboVox Far Field Speaker Recognition: A Novel Data Augmentation Approach with Pretrained Models—0
Text-To-Speech Synthesis In The Wild—0
USEF-TSE: Universal Speaker Embedding Free Target Speaker ExtractionCode1
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Benchmark Results

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