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 101–150 of 435 papers

TitleStatusHype
A Study on Bias and Fairness In Deep Speaker Recognition—0
Self-FiLM: Conditioning GANs with self-supervised representations for bandwidth extension based speaker recognition—0
Speaker Recognition in Realistic Scenario Using Multimodal Data—0
A Reinforcement Learning Framework for Online Speaker Diarization—0
Interpretable Spectrum Transformation Attacks to Speaker Recognition—0
VoxSRC 2022: The Fourth VoxCeleb Speaker Recognition ChallengeCode1
Probabilistic Back-ends for Online Speaker Recognition and ClusteringCode1
Speaker and Language Change Detection using Wav2vec2 and Whisper—0
TAPLoss: A Temporal Acoustic Parameter Loss for Speech EnhancementCode1
Masking Kernel for Learning Energy-Efficient Representations for Speaker Recognition and Mobile HealthCode0
Audio Representation Learning by Distilling Video as Privileged Information—0
Leveraging Speaker Embeddings with Adversarial Multi-task Learning for Age Group Classification—0
A Multi-Purpose Audio-Visual Corpus for Multi-Modal Persian Speech Recognition: the Arman-AV Dataset—0
The Newsbridge -Telecom SudParis VoxCeleb Speaker Recognition Challenge 2022 System Description—0
OLKAVS: An Open Large-Scale Korean Audio-Visual Speech DatasetCode1
Introducing Model Inversion Attacks on Automatic Speaker Recognition—0
SLUE Phase-2: A Benchmark Suite of Diverse Spoken Language Understanding Tasks—0
Probing Deep Speaker Embeddings for Speaker-related Tasks—0
A Novel Speech Feature Fusion Algorithm for Text-Independent Speaker Recognition—0
Inconsistency Ranking-based Noisy Label Detection for High-quality DataCode0
A new Speech Feature Fusion method with cross gate parallel CNN for Speaker Recognition—0
Multi-source Domain Adaptation for Text-independent Forensic Speaker Recognition—0
Is Style All You Need? Dependencies Between Emotion and GST-based Speaker RecognitionCode0
Late Audio-Visual Fusion for In-The-Wild Speaker Diarization—0
I4U System Description for NIST SRE'20 CTS Challenge—0
Disentangled representation learning for multilingual speaker recognition—0
Speaker recognition with two-step multi-modal deep cleansingCode1
Universal speaker recognition encoders for different speech segments duration—0
Self-Supervised Training of Speaker Encoder with Multi-Modal Diverse Positive Pairs—0
Toroidal Probabilistic Spherical Discriminant AnalysisCode1
Improving Speech Representation Learning via Speech-level and Phoneme-level Masking Approach—0
Large-scale learning of generalised representations for speaker recognition—0
Risk of re-identification for shared clinical speech recordingsCode0
SUPERB @ SLT 2022: Challenge on Generalization and Efficiency of Self-Supervised Speech Representation Learning—0
THUEE system description for NIST 2020 SRE CTS challenge—0
The DKU-DukeECE Diarization System for the VoxCeleb Speaker Recognition Challenge 2022—0
The Kriston AI System for the VoxCeleb Speaker Recognition Challenge 2022—0
The SpeakIn System Description for CNSRC2022—0
GIST-AiTeR System for the Diarization Task of the 2022 VoxCeleb Speaker Recognition Challenge—0
The ReturnZero System for VoxCeleb Speaker Recognition Challenge 2022—0
The Royalflush System for VoxCeleb Speaker Recognition Challenge 2022—0
A Benchmark for Understanding and Generating Dialogue between Characters in Stories—0
Disentangled Speaker Representation Learning via Mutual Information Minimization—0
Attention and DCT based Global Context Modeling for Text-independent Speaker Recognition—0
Perception-Aware Attack: Creating Adversarial Music via Reverse-Engineering Human Perception—0
Graph-based Multi-View Fusion and Local Adaptation: Mitigating Within-Household Confusability for Speaker Identification—0
A Hierarchical Speaker Representation Framework for One-shot Singing Voice Conversion—0
Towards End-to-End Private Automatic Speaker Recognition—0
Towards Understanding and Mitigating Audio Adversarial Examples for Speaker RecognitionCode1
AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition Systems—0
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Benchmark Results

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