Zobrazeno 1 - 7
of 7
pro vyhledávání: '"David Cournapeau"'
Autor:
Pauli Virtanen, Robert Kern, Antônio H. Ribeiro, Eric Moore, Andrew Nelson, Yu Feng, Paul van Mulbregt, Josef Perktold, Robert Cimrman, Tyler Reddy, Anne M. Archibald, Ralf Gommers, CJ Carey, K. Jarrod Millman, Jonathan Bright, Charles R. Harris, Warren Weckesser, Travis E. Oliphant, SciPy . Contributors, Eric Jones, Nikolay Mayorov, Pearu Peterson, Jake Vanderplas, Joshua Wilson, Stefan van der Walt, David Cournapeau, Eric Larson, Ian Henriksen, Fabian Pedregosa, Matthew Brett, Evgeni Burovski, Eric Quintero, Matt Haberland, Denis Laxalde, Ilhan Polat
Publikováno v:
Nature Methods
SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f135690cbdbd760645b3e91e359b39b
https://pubmed.ncbi.nlm.nih.gov/32015543
https://pubmed.ncbi.nlm.nih.gov/32015543
Autor:
Stefan van der Walt, Pauli Virtanen, David Cournapeau, Sebastian Berg, Matthew Brett, Eric Wieser, Tyler Reddy, Ralf Gommers, Matti Picus, Travis E. Oliphant, Pierre Gérard-Marchant, Allan Haldane, Jaime Fernández del Río, Hameer Abbasi, Julian Taylor, Warren Weckesser, Christoph Gohlke, Pearu Peterson, Kevin Sheppard, Stephan Hoyer, Marten H. van Kerkwijk, Nathaniel J. Smith, Robert Kern, Mark Wiebe, K. Jarrod Millman, Charles R. Harris
Publikováno v:
Nature
Array programming provides a powerful, compact and expressive syntax for accessing, manipulating and operating on data in vectors, matrices and higher-dimensional arrays. NumPy is the primary array programming library for the Python language. It has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b91639a733694c00946368b7bb76a70f
https://pubmed.ncbi.nlm.nih.gov/32939066
https://pubmed.ncbi.nlm.nih.gov/32939066
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. 4:1071-1083
A new online, unsupervised method for Voice Activity Detection (VAD) is proposed. The conventional VAD methods often rely on heuristics to adapt the decision threshold to the estimated SNR. The proposed VAD method is based on the Variational Bayes (V
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00c1e92c4b820e418326b9c6809e6812
https://doi.org/10.1109/jstsp.2010.2080821
https://doi.org/10.1109/jstsp.2010.2080821
Autor:
Tatsuya Kawahara, David Cournapeau
Publikováno v:
IEICE Transactions on Information and Systems. :2854-2861
A new online, unsupervised voice activity detection (VAD) method is proposed. The method is based on a feature derived from high-order statistics (HOS), enhanced by a second metric based on normalized autocorrelation peaks to improve its robustness t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6cc1dfcc6f64caee8e44e690d1229dca
https://doi.org/10.1093/ietisy/e91-d.12.2854
https://doi.org/10.1093/ietisy/e91-d.12.2854
Publikováno v:
ICASSP
This paper presents the use of online Variational Bayes method for online Voice Activity Detection (VAD) in an unsupervised context. In conventional VAD, the final step often relies on state machines whose parameters are heuristically tuned. The goal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::329fcbe96bbf488cf5b9f982aa91f2ef
https://doi.org/10.1109/icassp.2010.5495610
https://doi.org/10.1109/icassp.2010.5495610
Autor:
David Cournapeau, Tatsuya Kawahara
Publikováno v:
ICASSP
This paper addresses the problem of voice active detection (VAD) in noisy environments. We introduce variational Bayes approach to EM for classification to replace the heuristic state machines. The variational Bayes approach provides an explicit appr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b84f9157b9f906b44be60aa036dbee09
https://doi.org/10.1109/icassp.2008.4518638
https://doi.org/10.1109/icassp.2008.4518638
Autor:
David Cournapeau, Tatsuya Kawahara
Publikováno v:
Scopus-Elsevier
INTERSPEECH
INTERSPEECH
We have proposed a method for real-time, unsupervised voice activity detection (VAD). In this paper, problems of feature selection and classification scheme are addressed. The feature is based on High Order Statistics (HOS) to discriminate close and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bf4cd3ef19211da2612aafc5007fcbd
http://www.scopus.com/inward/record.url?eid=2-s2.0-56149090727&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-56149090727&partnerID=MN8TOARS
