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 331–340 of 435 papers

TitleStatusHype
What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis—0
Who is Authentic Speaker—0
Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?—0
Xi-Vector Embedding for Speaker Recognition—0
XMUSPEECH System for VoxCeleb Speaker Recognition Challenge 2021—0
x-vectors meet emotions: A study on dependencies between emotion and speaker recognition—0
3D-Speaker-Toolkit: An Open-Source Toolkit for Multimodal Speaker Verification and Diarization—0
以三元組損失微調時延神經網路語者嵌入函數之語者辨識系統(Time Delay Neural Network-based Speaker Embedding Function Fine-tuned with Triplet Loss for Distance-based Speaker Recognition)—0
A Benchmark for Understanding and Generating Dialogue between Characters in Stories—0
A Comparative Evaluation of Deep Learning Models for Speech Enhancement in Real-World Noisy Environments—0
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Benchmark Results

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