Latent space representation for multi-target speaker detection and identification with a sparse dataset using Triplet neural networks

1 Oct 2019Kin Wai CheukBalamurali B. T.Gemma RoigDorien Herremans

We present an approach to tackle the speaker recognition problem using Triplet Neural Networks. Currently, the $i$-vector representation with probabilistic linear discriminant analysis (PLDA) is the most commonly used technique to solve this problem, due to high classification accuracy with a relatively short computation time... (read more)

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