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 151–160 of 435 papers

TitleStatusHype
Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel’s Weekly Video PodcastsCode1
WeCanTalk: A New Multi-language, Multi-modal Resource for Speaker Recognition—0
Far-Field Speaker Recognition Benchmark Derived From The DiPCo Corpus—0
Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel's Weekly Video PodcastsCode1
PaddleSpeech: An Easy-to-Use All-in-One Speech ToolkitCode6
Dynamic Recognition of Speakers for Consent Management by Contrastive Embedding Replay—0
Speaker Recognition in the WildCode1
Baselines and Protocols for Household Speaker RecognitionCode0
Why does Self-Supervised Learning for Speech Recognition Benefit Speaker Recognition?—0
Graph Convolutional Network Based Semi-Supervised Learning on Multi-Speaker Meeting Data—0
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Benchmark Results

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