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

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Showing 301–310 of 435 papers

TitleStatusHype
To Reverse the Gradient or Not: An Empirical Comparison of Adversarial and Multi-task Learning in Speech Recognition—0
Towards End-to-End Private Automatic Speaker Recognition—0
Late Audio-Visual Fusion for In-The-Wild Speaker Diarization—0
Towards Relevance and Sequence Modeling in Language Recognition—0
Transforming the Embeddings: A Lightweight Technique for Speech Emotion Recognition Tasks—0
Triplet Based Embedding Distance and Similarity Learning for Text-independent Speaker Verification—0
Understanding Contrastive Learning Through the Lens of Margins—0
UNISOUND System for VoxCeleb Speaker Recognition Challenge 2023—0
Universal speaker recognition encoders for different speech segments duration—0
UniX-Encoder: A Universal X-Channel Speech Encoder for Ad-Hoc Microphone Array Speech Processing—0
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Benchmark Results

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