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 141–150 of 435 papers

TitleStatusHype
Deep Neural Networks for Automatic Speaker Recognition Do Not Learn Supra-Segmental Temporal Features—0
Deep neural network based i-vector mapping for speaker verification using short utterances—0
Avengers Assemble: Amalgamation of Non-Semantic Features for Depression Detection—0
An Exploration of ECAPA-TDNN and x-vector Speaker Representations in Zero-shot Multi-speaker TTS—0
A Generative Model for Score Normalization in Speaker Recognition—0
A comparison of linear and non-linear calibrations for speaker recognition—0
A Comparative Evaluation of Deep Learning Models for Speech Enhancement in Real-World Noisy Environments—0
DeepMSRF: A novel Deep Multimodal Speaker Recognition framework with Feature selection—0
Deep learning methods in speaker recognition: a review—0
Deep Learning for Single and Multi-Session i-Vector Speaker Recognition—0
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Benchmark Results

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