Linear acoustic echo cancellation using deep neural networks and convex reconstruction of incomplete transfer function

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dc.contributor.authorJanský Jakubcs
dc.contributor.authorBoháč Marekcs
dc.contributor.authorKoldovský Zbyněkcs
dc.contributor.authorMüller Michaelcs
dc.date.accessioned2018-09-25T12:13:17Z
dc.date.available2018-09-25T12:13:17Z
dc.date.issued2017cs
dc.description.abstractLinear acoustic path estimation for acoustic echo cancellation is difficult during periods where the near-end signal (speech) is active. In this paper, we assume that the impulse response is sparse. There are many algorithms that solve the problem of estimating sparse impulse response in the time domain. In this paper, we propose algorithms working in the time-frequency domain. In our approach, it is assumed that the respective transfer function can be estimated only for those frequencies where the near-end signal is not active. First, a deep neural network trained on mixed signals is used to detect the activity of the near-end signal. In frequencies where no activity is detected, the acoustic transfer function is estimated using conventional frequency domain least squares. This results in an incomplete transfer function (ITF) estimate. The completion is done through finding the sparsest representation of the ITF in the time domain. This can be done adaptively using the soft-threshold function, which is applied in the time domain. To achieve improved accuracy, oversampling can be used.en
dc.format.extent6cs
dc.identifier.doi10.1109/ECMSM.2017.7945913
dc.identifier.isbn978-1-5090-5582-1cs
dc.identifier.urihttps://dspace.tul.cz/handle/15240/31078
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7945913
dc.language.isoengcs
dc.publisherInstitute of Electrical and Electronics Engineers Inc.cs
dc.publisher.cityDonostia, San Sebastian, Spaincs
dc.relation.ispartofseries1cs
dc.relation.urihttps://asap.ite.tul.cz/wp-content/uploads/sites/3/2017/06/ECMSM2017.pdfcs
dc.subjectLinear Echo Cancellationcs
dc.subjectDeep Neural Networkscs
dc.subjectIncomplete Transfer Functioncs
dc.titleLinear acoustic echo cancellation using deep neural networks and convex reconstruction of incomplete transfer functioncs
local.citation.epage1-6cs
local.citation.spage1-6cs
local.identifier.publikace4534
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