Exploració per tema "I-vectors"
Ara es mostren els items 1-3 de 3
-
I-vector transformation using k-nearest neighbors for speaker verification
(Institute of Electrical and Electronics Engineers (IEEE), 2020)
Text en actes de congrés
Accés restringit per política de l'editorialProbabilistic Linear Discriminant Analysis (PLDA) is the most efficient backend for i-vectors. However, it requires labeled background data which can be difficult to access in practice. Unlike PLDA, cosine scoring avoids ... -
LSTM neural network-based speaker segmentation using acoustic and language modelling
(International Speech Communication Association (ISCA), 2017)
Comunicació de congrés
Accés obertThis paper presents a new speaker change detection system based on Long Short-Term Memory (LSTM) neural networks using acoustic data and linguistic content. Language modelling is combined with two different ... -
Prosodic and spectral iVectors for expressive speech synthesis
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Comunicació de congrés
Accés obertThis work presents a study on the suitability of prosodic andacoustic features, with a special focus on i-vectors, in expressivespeech analysis and synthesis. For each utterance of two dif-ferent databases, a laboratory ...