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 26–50 of 435 papers

TitleStatusHype
Are Music Foundation Models Better at Singing Voice Deepfake Detection? Far-Better Fuse them with Speech Foundation Models—0
Speaker-IPL: Unsupervised Learning of Speaker Characteristics with i-Vector based Pseudo-Labels—0
oboVox Far Field Speaker Recognition: A Novel Data Augmentation Approach with Pretrained Models—0
Text-To-Speech Synthesis In The Wild—0
USEF-TSE: Universal Speaker Embedding Free Target Speaker ExtractionCode1
Recursive Attentive Pooling for Extracting Speaker Embeddings from Multi-Speaker Recordings—0
The VoxCeleb Speaker Recognition Challenge: A Retrospective—0
Convexity-based Pruning of Speech Representation Models—0
Long-Term Conversation Analysis: Privacy-Utility Trade-off under Noise and Reverberation—0
VoxSim: A perceptual voice similarity datasetCode1
Reshape Dimensions Network for Speaker RecognitionCode2
Overview of Speaker Modeling and Its Applications: From the Lens of Deep Speaker Representation Learning—0
Team HYU ASML ROBOVOX SP Cup 2024 System Description—0
VoxBlink2: A 100K+ Speaker Recognition Corpus and the Open-Set Speaker-Identification BenchmarkCode5
Phonetic Richness for Improved Automatic Speaker Verification—0
A voice and speech corpus of patients who underwent upper airway surgery in pre- and post-operative statesCode0
Analyzing Speech Unit Selection for Textless Speech-to-Speech Translation—0
We Need Variations in Speech Generation: Sub-center Modelling for Speaker Embeddings—0
Prosody-Driven Privacy-Preserving Dementia DetectionCode0
Open-Source Conversational AI with SpeechBrain 1.0—0
CEC: A Noisy Label Detection Method for Speaker Recognition—0
Challenging margin-based speaker embedding extractors by using the variational information bottleneck—0
PERSONA: An Application for Emotion Recognition, Gender Recognition and Age Estimation—0
The Reasonable Effectiveness of Speaker Embeddings for Violence Detection—0
Fill in the Gap! Combining Self-supervised Representation Learning with Neural Audio Synthesis for Speech Inpainting—0
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Benchmark Results

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