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 251–300 of 435 papers

TitleStatusHype
A Lightweight Speaker Recognition System Using Timbre Properties—0
Remarks on Optimal Scores for Speaker Recognition—0
Clova Baseline System for the VoxCeleb Speaker Recognition Challenge 2020—0
Siamese Capsule Network for End-to-End Speaker Recognition In The Wild—0
Fine-grained Early Frequency Attention for Deep Speaker Representation Learning—0
Estimating Uniqueness of I-Vector Representation of Human Voice—0
Length- and Noise-aware Training Techniques for Short-utterance Speaker Recognition—0
DeepVOX: Discovering Features from Raw Audio for Speaker Recognition in Non-ideal Audio Signals—0
They are wearing a mask! Identification of Subjects Wearing a Surgical Mask from their Speech by means of x-vectors and Fisher Vectors—0
Adversarial Attack and Defense Strategies for Deep Speaker Recognition SystemsCode1
DeepSonar: Towards Effective and Robust Detection of AI-Synthesized Fake Voices—0
Compact Speaker Embedding: lrx-vector—0
Neural PLDA Modeling for End-to-End Speaker VerificationCode1
Audio-visual Speaker Recognition with a Cross-modal Discriminative Network—0
JukeBox: A Multilingual Singer Recognition Dataset—0
A Machine of Few Words -- Interactive Speaker Recognition with Reinforcement Learning—0
Improving on-device speaker verification using federated learning with privacy—0
Self-attention encoding and pooling for speaker recognition—0
Siamese x-vector reconstruction for domain adapted speaker recognition—0
Evidence of Task-Independent Person-Specific Signatures in EEG using Subspace Techniques—0
Augmentation adversarial training for self-supervised speaker recognition—0
Version Control of Speaker Recognition SystemsCode0
DeepMSRF: A novel Deep Multimodal Speaker Recognition framework with Feature selection—0
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems—0
TERA: Self-Supervised Learning of Transformer Encoder Representation for SpeechCode1
LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity—0
Data augmentation versus noise compensation for x- vector speaker recognition systems in noisy environments—0
Crossed-Time Delay Neural Network for Speaker RecognitionCode1
Target Speech Extraction Based on Blind Source Separation and X-vector-based Speaker Selection Trained with Data AugmentationCode0
Speaker Re-identification with Speaker Dependent Speech Enhancement—0
AutoSpeech: Neural Architecture Search for Speaker RecognitionCode1
Call My Net 2: A New Resource for Speaker Recognition—0
Arabic Speech Rhythm Corpus: Read and Spontaneous Speaking Styles—0
Seeing voices and hearing voices: learning discriminative embeddings using cross-modal self-supervision—0
Cross-modal Speaker Verification and Recognition: A Multilingual Perspective—0
Speaker Recognition in Bengali Language from Nonlinear Features—0
Universal Adversarial Perturbations Generative Network for Speaker RecognitionCode1
Deep Normalization for Speaker VectorsCode0
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length PairsCode1
Speaker Recognition using SincNet and X-Vector Fusion—0
Neural i-vectors—0
Towards Relevance and Sequence Modeling in Language Recognition—0
AM-MobileNet1D: A Portable Model for Speaker RecognitionCode1
End-to-end Recurrent Denoising Autoencoder Embeddings for Speaker Identification—0
Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems—0
An Open-set Recognition and Few-Shot Learning Dataset for Audio Event Classification in Domestic EnvironmentsCode0
Speech2Phone: A Novel and Efficient Method for Training Speaker Recognition ModelsCode1
Disentangled Speech Embeddings using Cross-modal Self-supervision—0
Deep Speaker Embeddings for Far-Field Speaker Recognition on Short Utterances—0
x-vectors meet emotions: A study on dependencies between emotion and speaker recognition—0
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Benchmark Results

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