Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ivan Rakhmanenko"'
Publikováno v:
Speech and Computer ISBN: 9783031209796
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffa21a552ee741ea01f797561bd8e280
https://doi.org/10.1007/978-3-031-20980-2_33
https://doi.org/10.1007/978-3-031-20980-2_33
The article considers an approach to the problem of assessing the quality of speech during speech rehabilitation as a classification problem. For this, a classifier is built on the basis of an LSTM neural network for dividing speech signals into two
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41d9ad9427d01d5c4a8444ef8c0f857f
https://doi.org/10.20944/preprints202112.0196.v1
https://doi.org/10.20944/preprints202112.0196.v1
Publikováno v:
International Journal of Advanced Trends in Computer Science and Engineering. 6:1741-1746
Publikováno v:
Intelligent Environments
When interacting with the Smart environment using speech interfaces, one of the important aspects is to assess the quality of the pronunciation of phrases. Therefore, obtaining objective quantitative estimates of the proximity to the initial standard
Publikováno v:
Компьютерная оптика, Vol 44, Iss 4, Pp 596-605 (2020)
This paper is devoted to the use of the convolutional deep belief network as a speech feature extractor for automatic text-independent speaker verification. The paper describes the scope and problems of automatic speaker verification systems. Types o
Autor:
Evgeny L. Choynzonov, Ivan Rakhmanenko, Alexander Alexandrovich Shelupanov, Lidiya N. Balatskaya, Evgeny Kostyuchenko
Publikováno v:
Speech and Computer ISBN: 9783030602758
SPECOM
SPECOM
In this paper we present our contribution to the task 2 of the short-duration speaker verification (SdSV) challenge. The main task for this challenge is to find new technologies for text-dependent and text-independent speaker verification in short du
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e4899053e045e8bdba91f24781b21f3
https://doi.org/10.1007/978-3-030-60276-5_44
https://doi.org/10.1007/978-3-030-60276-5_44
Autor:
Roman Meshcheryakov, Ivan Rakhmanenko
Publikováno v:
Speech and Computer ISBN: 9783319439570
SPECOM
SPECOM
This paper overviews the application sphere of speaker verification systems and illustrates the use of the Gaussian mixture model and the universal background model (GMM-UBM) in an automatic text-independent speaker verification task. The experimenta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aab73fd775ee86e46be813324892b126
https://doi.org/10.1007/978-3-319-43958-7_78
https://doi.org/10.1007/978-3-319-43958-7_78