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 181–190 of 435 papers

TitleStatusHype
KU-ISPL Speaker Recognition Systems under Language mismatch condition for NIST 2016 Speaker Recognition Evaluation—0
Language Modelling for Speaker Diarization in Telephonic Interviews—0
Large-scale learning of generalised representations for speaker recognition—0
LASPA: Language Agnostic Speaker Disentanglement with Prefix-Tuned Cross-Attention—0
Deep Learning for Single and Multi-Session i-Vector Speaker Recognition—0
LDC Language Resource Database: Building a Bibliographic Database—0
GlobalPhone: Pronunciation Dictionaries in 20 Languages—0
Learning Speaker-Invariant Visual Features for Lipreading—0
Length- and Noise-aware Training Techniques for Short-utterance Speaker Recognition—0
GIST-AiTeR System for the Diarization Task of the 2022 VoxCeleb Speaker Recognition Challenge—0
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Benchmark Results

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