The aim of this investigation is to study the properties of DAE in the i-vector space and analyze different strategies of initialization and training of the the ...
The aim of this investigation is to study the properties of DAE in the i -vector space and analyze different strategies of initialization and training of ...
Jun 22, 2016 · We present the detailed empirical investigation of the speaker verification system based on denoising autoencoder (DAE) in the i-vector ...
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Jan 16, 2023 · This paper describes a novel end-to-end deep generative model-based speaker recognition system using prosodic features.
This article presents a novel approach based on the combination of two deep learning models, namely, AE and GAN for speech recognition-based biometric access ...
May 25, 2017 · Abstract:New system for i-vector speaker recognition based on variational autoencoder (VAE) is investigated. VAE is a promising approach for ...
The UBM is then used to extract the i-vector of the enrollment and test speech. Unlike the traditional i-vector framework, which uses linear discriminant ...
The i-vector extraction paradigm, which utilizes the Universal. Background Model (UBM) and total variability factor space, has sparked great interest in the ...
Oct 16, 2018 · The proposed methods both model the joint representation of short and long utterance i-vectors: the first method trains an autoencoder first ...
In this study, we present a speech anonymization method based on autoencoders and adversarial training.