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 31–40 of 435 papers

TitleStatusHype
Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel’s Weekly Video PodcastsCode1
AutoSpeech: Neural Architecture Search for Speaker RecognitionCode1
AM-MobileNet1D: A Portable Model for Speaker RecognitionCode1
Merkel Podcast Corpus: A Multimodal Dataset Compiled from 16 Years of Angela Merkel's Weekly Video PodcastsCode1
Adversarial Attack and Defense Strategies for Deep Speaker Recognition SystemsCode1
BERTphone: Phonetically-Aware Encoder Representations for Utterance-Level Speaker and Language RecognitionCode1
Leveraging speaker attribute information using multi task learning for speaker verification and diarizationCode1
OLKAVS: An Open Large-Scale Korean Audio-Visual Speech DatasetCode1
Meta-Learning for Short Utterance Speaker Recognition with Imbalance Length PairsCode1
Probabilistic Spherical Discriminant Analysis: An Alternative to PLDA for length-normalized embeddingsCode1
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Benchmark Results

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