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 1–10 of 435 papers

TitleStatusHype
PaddleSpeech: An Easy-to-Use All-in-One Speech ToolkitCode6
VoxBlink2: A 100K+ Speaker Recognition Corpus and the Open-Set Speaker-Identification BenchmarkCode5
ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf modelsCode3
Take the aTrain. Introducing an Interface for the Accessible Transcription of InterviewsCode3
Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in Speaker RecognitionCode3
Pushing the limits of raw waveform speaker recognitionCode3
VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram MaskingCode2
Reshape Dimensions Network for Speaker RecognitionCode2
SEED: Speaker Embedding Enhancement Diffusion ModelCode2
EfficientTDNN: Efficient Architecture Search for Speaker RecognitionCode1
Show:102550
← PrevPage 1 of 44Next →

Benchmark Results

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