2018 26th Telecommunications Forum (TELFOR) 2018
DOI: 10.1109/telfor.2018.8612052
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A Multi-Target Speaker Detection and Identification System Based on Combination of PLDA and DNN

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Cited by 2 publications
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“…Participants used various approaches: Siamese NN [10], triplet NN, Locality Sensitive Discriminant Analysis [11], Knearest-neighbor, Support Vector Machine and Denoising Autoencoder (DAE) including general speaker verification approach such as PLDA and S-norm [12]. However, only a few teams demonstrated significant performance improvements over the baseline.…”
Section: Challenge Resultsmentioning
confidence: 99%
“…Participants used various approaches: Siamese NN [10], triplet NN, Locality Sensitive Discriminant Analysis [11], Knearest-neighbor, Support Vector Machine and Denoising Autoencoder (DAE) including general speaker verification approach such as PLDA and S-norm [12]. However, only a few teams demonstrated significant performance improvements over the baseline.…”
Section: Challenge Resultsmentioning
confidence: 99%