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 71–80 of 435 papers

TitleStatusHype
Blind score normalization method for PLDA based speaker recognition—0
A comparison of linear and non-linear calibrations for speaker recognition—0
Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information—0
An I-vector Based Approach to Compact Multi-Granularity Topic Spaces Representation of Textual Documents—0
Attention and DCT based Global Context Modeling for Text-independent Speaker Recognition—0
Bayesian calibration for forensic evidence reporting—0
An improved uncertainty propagation method for robust i-vector based speaker recognition—0
3D-Speaker-Toolkit: An Open-Source Toolkit for Multimodal Speaker Verification and Diarization—0
An Exploration of ECAPA-TDNN and x-vector Speaker Representations in Zero-shot Multi-speaker TTS—0
Avengers Assemble: Amalgamation of Non-Semantic Features for Depression Detection—0
Show:102550
← PrevPage 8 of 44Next →

Benchmark Results

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