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 301–350 of 435 papers

TitleStatusHype
NPLDA: A Deep Neural PLDA Model for Speaker VerificationCode1
LEAP System for SRE19 CTS Challenge -- Improvements and Error Analysis—0
Multi-task Learning for Speaker Verification and Voice Trigger Detection—0
Robust Speaker Recognition Using Speech Enhancement And Attention Model—0
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends—0
THUEE system description for NIST 2019 SRE CTS Challenge—0
End-to-end training of time domain audio separation and recognition—0
Short-duration Speaker Verification (SdSV) Challenge 2021: the Challenge Evaluation Plan—0
VoxSRC 2019: The first VoxCeleb Speaker Recognition Challenge—0
Deep learning methods in speaker recognition: a review—0
Robust speaker recognition using unsupervised adversarial invarianceCode0
Who is Real Bob? Adversarial Attacks on Speaker Recognition SystemsCode0
CN-CELEB: a challenging Chinese speaker recognition datasetCode0
Structural sparsification for Far-field Speaker Recognition with GNA—0
Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer EncodersCode0
Delving into VoxCeleb: environment invariant speaker recognitionCode0
Filterbank design for end-to-end speech separationCode0
BUT System Description to VoxCeleb Speaker Recognition Challenge 2019—0
Frequency and temporal convolutional attention for text-independent speaker recognition—0
Contextual Joint Factor Acoustic Embeddings—0
以三元組損失微調時延神經網路語者嵌入函數之語者辨識系統(Time Delay Neural Network-based Speaker Embedding Function Fine-tuned with Triplet Loss for Distance-based Speaker Recognition)—0
Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networksCode0
Embeddings for DNN speaker adaptive training—0
Improving Noise Robustness In Speaker Identification Using A Two-Stage Attention Model—0
Probing the Information Encoded in X-vectors—0
Personal VAD: Speaker-Conditioned Voice Activity DetectionCode0
A Study on Angular Based Embedding Learning for Text-independent Speaker Verification—0
Triplet Based Embedding Distance and Similarity Learning for Text-independent Speaker Verification—0
A Deep Neural Network for Short-Segment Speaker Recognition—0
Speaker Recognition with Random Digit Strings Using Uncertainty Normalized HMM-based i-vectors—0
BUT VOiCES 2019 System Description—0
The DKU Replay Detection System for the ASVspoof 2019 Challenge: On Data Augmentation, Feature Representation, Classification, and Fusion—0
BERTphone: Phonetically-Aware Encoder Representations for Utterance-Level Speaker and Language RecognitionCode1
Self Multi-Head Attention for Speaker Recognition—0
Margin Matters: Towards More Discriminative Deep Neural Network Embeddings for Speaker Recognition—0
Building and Evaluation of a Real Room Impulse Response Dataset—0
Adversarial Speaker Verification—0
Few Shot Speaker Recognition using Deep Neural Networks—0
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences—0
STC Speaker Recognition Systems for the VOiCES From a Distance Challenge—0
VAE-based regularization for deep speaker embedding—0
Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems—0
Utterance-level Aggregation For Speaker Recognition In The WildCode1
Channel adversarial training for cross-channel text-independent speaker recognition—0
An improved uncertainty propagation method for robust i-vector based speaker recognition—0
Centroid-based deep metric learning for speaker recognition—0
An Ensemble SVM-based Approach for Voice Activity Detection—0
Quality Measures for Speaker Verification with Short Utterances—0
Additive Margin SincNet for Speaker RecognitionCode0
Introduction to Voice Presentation Attack Detection and Recent Advances—0
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Benchmark Results

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