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 401–435 of 435 papers

TitleStatusHype
Multi-task Recurrent Model for Speech and Speaker Recognition—0
PCA/LDA Approach for Text-Independent Speaker Recognition—0
The IBM 2016 Speaker Recognition System—0
Blind score normalization method for PLDA based speaker recognition—0
Deep Learning for Single and Multi-Session i-Vector Speaker Recognition—0
Unsupervised Adaptation of SPLDA—0
PLDA with Two Sources of Inter-session Variability—0
Max-margin Metric Learning for Speaker Recognition—0
Multilayer bootstrap network for unsupervised speaker recognition—0
Improved Deep Speaker Feature Learning for Text-Dependent Speaker Recognition—0
Deep Speaker Vectors for Semi Text-independent Speaker Verification—0
A Unified Deep Neural Network for Speaker and Language Recognition—0
Skilled Impostor Attacks Against Fingerprint Verification Systems And Its Remedy—0
Influence of Mother Tongue on English Accent—0
Choice of Mel Filter Bank in Computing MFCC of a Resampled Speech—0
Modified Mel Filter Bank to Compute MFCC of Subsampled Speech—0
以二維共振峰分布建立語者音色模型及其在語者驗證上之應用 (Using 2D Formant Distribution to Build Speaker Models and Its Application in Speaker Verification) [In Chinese]—0
An I-vector Based Approach to Compact Multi-Granularity Topic Spaces Representation of Textual Documents—0
Visual Speech Recognition—0
Modelling Data Dispersion Degree in Automatic Robust Estimation for Multivariate Gaussian Mixture Models with an Application to Noisy Speech Processing—0
New bilingual speech databases for audio diarization—0
An Effortless Way To Create Large-Scale Datasets For Famous Speakers—0
The ETAPE speech processing evaluation—0
GlobalPhone: Pronunciation Dictionaries in 20 Languages—0
Constrained speaker linking—0
Bayesian calibration for forensic evidence reporting—0
A comparison of linear and non-linear calibrations for speaker recognition—0
Differences in Speaker Individualising Information between Case Particles and Fillers in Spoken Japanese—0
結合I-Vector 及深層神經網路之語者驗證系統 (Text-independent Speaker Verification using a Hybrid I-Vector/DNN Approach) [In Chinese]—0
Likelihood-ratio calibration using prior-weighted proper scoring rules—0
REPERE : premiers r\'esultats d'un d\'efi autour de la reconnaissance multimodale des personnes (REPERE : preliminary results of a multimodal person recognition challenge) [in French]—0
LDC Language Resource Database: Building a Bibliographic Database—0
Automatic Speech Recognition on a Firefighter TETRA Broadcast Channel—0
Extracting Speaker-Specific Information with a Regularized Siamese Deep Network—0
Speaker Comparison with Inner Product Discriminant Functions—0
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Benchmark Results

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