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 201–225 of 435 papers

TitleStatusHype
The DKU-DukeECE-Lenovo System for the Diarization Task of the 2021 VoxCeleb Speaker Recognition Challenge—0
SEC4SR: A Security Analysis Platform for Speaker RecognitionCode1
Curricular SincNet: Towards Robust Deep Speaker Recognition by Emphasizing Hard Samples in Latent SpaceCode0
NIST SRE CTS Superset: A large-scale dataset for telephony speaker recognition—0
Xi-Vector Embedding for Speaker Recognition—0
Improved Speech Emotion Recognition using Transfer Learning and Spectrogram Augmentation—0
Use of speaker recognition approaches for learning and evaluating embedding representations of musical instrument soundsCode0
Representation Learning to Classify and Detect Adversarial Attacks against Speaker and Speech Recognition Systems—0
Dropout Regularization for Self-Supervised Learning of Transformer Encoder Speech Representation—0
Pretext Tasks selection for multitask self-supervised speech representation learningCode0
What do End-to-End Speech Models Learn about Speaker, Language and Channel Information? A Layer-wise and Neuron-level Analysis—0
Fusion of Embeddings Networks for Robust Combination of Text Dependent and Independent Speaker Recognition—0
Graph-based Label Propagation for Semi-Supervised Speaker Identification—0
PF-Net: Personalized Filter for Speaker Recognition from Raw WaveformCode0
Utterance partitioning for speaker recognition: an experimental review and analysis with new findings under GMM-SVM framework—0
Improving Fairness in Speaker Recognition—0
Exploring Deep Learning for Joint Audio-Visual Lip BiometricsCode1
Conditional independence for pretext task selection in Self-supervised speech representation learningCode0
Speaker embeddings by modeling channel-wise correlationsCode1
SpeakerStew: Scaling to Many Languages with a Triaged Multilingual Text-Dependent and Text-Independent Speaker Verification System—0
Dr-Vectors: Decision Residual Networks and an Improved Loss for Speaker Recognition—0
EfficientTDNN: Efficient Architecture Search for Speaker RecognitionCode1
Semi Supervised Learning For Few-shot Audio Classification By Episodic Triplet Mining—0
Content-Aware Speaker Embeddings for Speaker Diarisation—0
U-vectors: Generating clusterable speaker embedding from unlabeled dataCode0
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Benchmark Results

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