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 76–100 of 435 papers

TitleStatusHype
Bayesian calibration for forensic evidence reporting—0
Disentangled Speaker Representation Learning via Mutual Information Minimization—0
Disentangled Speech Embeddings using Cross-modal Self-supervision—0
A Generative Model for Score Normalization in Speaker Recognition—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
Disentangled representation learning for multilingual speaker recognition—0
Disentangled Speech Representation Learning Based on Factorized Hierarchical Variational Autoencoder with Self-Supervised Objective—0
Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation—0
Deep learning methods in speaker recognition: a review—0
A new Speech Feature Fusion method with cross gate parallel CNN for Speaker Recognition—0
Adversarial Speaker Verification—0
Deep factorization for speech signal—0
Deep CNN based feature extractor for text-prompted speaker recognition—0
A Unified Deep Neural Network for Speaker and Language Recognition—0
Automatic Speech Recognition on a Firefighter TETRA Broadcast Channel—0
Deep Learning for Single and Multi-Session i-Vector Speaker Recognition—0
Attention and DCT based Global Context Modeling for Text-independent Speaker Recognition—0
DeepMSRF: A novel Deep Multimodal Speaker Recognition framework with Feature selection—0
Data augmentation versus noise compensation for x- vector speaker recognition systems in noisy environments—0
Deep Neural Networks for Automatic Speaker Recognition Do Not Learn Supra-Segmental Temporal Features—0
An Exploration of ECAPA-TDNN and x-vector Speaker Representations in Zero-shot Multi-speaker TTS—0
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends—0
An improved uncertainty propagation method for robust i-vector based speaker recognition—0
Augmentation adversarial training for self-supervised speaker recognition—0
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Benchmark Results

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