Exploració per tema "i-vector"
Ara es mostren els items 1-4 de 4
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Deep belief networks for i-vector based speaker recognition
(Institute of Electrical and Electronics Engineers (IEEE), 2014)
Text en actes de congrés
Accés restringit per política de l'editorialThe use of Deep Belief Networks (DBNs) is proposed in this paper to model discriminatively target and impostor i-vectors in a speaker verification task. The authors propose to adapt the network parameters of each speaker ... -
Restricted Boltzmann machines for vector representation of speech in speaker recognition
(Elsevier, 2018-01)
Article
Accés obertOver the last few years, i-vectors have been the state-of-the-art technique in speaker recognition. Recent advances in Deep Learning (DL) technology have improved the quality of i-vectors but the DL techniques in use are ... -
Self-supervised deep learning approaches to speaker recognition: A Ph.D. Thesis overview
(International Speech Communication Association (ISCA), 2021)
Comunicació de congrés
Accés obertRecent advances in Deep Learning (DL) for speaker recognition have improved the performance but are constrained to the need of labels for the background data, which is difficult in prac- tice. In i-vector based speaker ... -
Unsupervised training of siamese networks for speaker verification
(International Speech Communication Association (ISCA), 2020)
Text en actes de congrés
Accés obertSpeaker labeled background data is an essential requirement for most state-of-the-art approaches in speaker recognition, e.g., xvectors and i-vector/PLDA. However, in reality it is difficult to access large amount of labeled ...