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 21–30 of 435 papers

TitleStatusHype
Adversarial Attack and Defense Strategies for Deep Speaker Recognition SystemsCode1
HLT-NUS SUBMISSION FOR 2020 NIST Conversational Telephone Speech SRECode1
Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel’s Weekly Video PodcastsCode1
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length PairsCode1
Crossed-Time Delay Neural Network for Speaker RecognitionCode1
OLKAVS: An Open Large-Scale Korean Audio-Visual Speech DatasetCode1
AutoSpeech: Neural Architecture Search for Speaker RecognitionCode1
AM-MobileNet1D: A Portable Model for Speaker RecognitionCode1
Deep Discriminative Feature Learning for Accent RecognitionCode1
Bias in Automated Speaker RecognitionCode1
Show:102550
← PrevPage 3 of 44Next →

Benchmark Results

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