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
Incorporation of Speech Duration Information in Score Fusion of Speaker Recognition Systems—0
LASPA: Language Agnostic Speaker Disentanglement with Prefix-Tuned Cross-Attention—0
Cosine Scoring with Uncertainty for Neural Speaker Embedding—0
LDC Language Resource Database: Building a Bibliographic Database—0
Improving Speech Representation Learning via Speech-level and Phoneme-level Masking Approach—0
Learning Speaker-Invariant Visual Features for Lipreading—0
Length- and Noise-aware Training Techniques for Short-utterance Speaker Recognition—0
Improving Noise Robustness In Speaker Identification Using A Two-Stage Attention Model—0
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Benchmark Results

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