12th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2015

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F15%3A%230003444" target="_blank" >RIV/46747885:24220/15:#0003444 - isvavai.cz</a>

Result on the web

<a href="http://www.scopus.com/record/display.uri?eid=2-s2.0-84944683187&origin=resultslist&sort=plf-f&src=s&st1=The+12th+International+Conference+on+Latent+Variable+Analysis+and+Signal+Separation&st2=&sid=3C09E1571BBFB18B93195C9932593B7C.k" target="_blank" >http://www.scopus.com/record/display.uri?eid=2-s2.0-84944683187&origin=resultslist&sort=plf-f&src=s&st1=The+12th+International+Conference+on+Latent+Variable+Analysis+and+Signal+Separation&st2=&sid=3C09E1571BBFB18B93195C9932593B7C.k</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

12th International Conference on Latent Variable Analysis and Signal Separation, LVA/ICA 2015

Original language description

The proceedings contain 69 papers. The special focus in this conference is on Tensor-Based Methods for Blind Signal Separation and Deep Neural Networks for Supervised Speech Separation/Enhancement. The topics include: Stochastic and deterministic tensorization for blind signal separation; block-decoupling multivariate polynomials using the tensor block-term decomposition; a polynomial formulation for joint decomposition of symmetric tensors of different orders; some rank conditions for the identifiability of the sparse paralind model; tensor factorisation approach for separation of convolutive complex communication signals; improving deep neural network based speech enhancement in low snr environments; noise perturbation improves supervised speech separation; speech enhancement with LSTM recurrent neural networks and its application to noise-robust ASR; a fine-tuning scheme to learn from test mixtures; joint independent subspace analysis; joint decompositions with flexible couplings; l

Czech name

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Czech description

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Type

M - Conference organization

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

<a href="/en/project/GA14-11898S" target="_blank" >GA14-11898S: Semi-blind methods in speech enhancement with microphone arrays</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2015

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Event location

Liberec

Event country

CZ - CZECH REPUBLIC

Event starting date

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Event ending date

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Total number of attendees

91

Foreign attendee count

81

Type of event by attendee nationality

WRD - Celosvětová akce