On sound source localization of speech signals using deep neural networks
dc.contributor.author | Roden, Reinhild | |
dc.contributor.author | Moritz, Niko | |
dc.contributor.author | Gerlach, Stephan | |
dc.contributor.author | Weinzierl, Stefan | |
dc.contributor.author | Goetze, Stefan | |
dc.date.accessioned | 2019-08-09T09:27:16Z | |
dc.date.available | 2019-08-09T09:27:16Z | |
dc.date.issued | 2015 | |
dc.description.abstract | In recent years artificial neural networks are successfully applied especially in the context of automatic speech recognition. As information processing systems, neural networks are trained by, e.g., backpropagation or restricted Boltzmann machines to classify patterns at the input of the system. The current work presents the implementation of a deep neural network (DNN) architecture for acoustic source localization. | en |
dc.description.sponsorship | EC/FP7/318381/EU/Experimenting Acoustics in Real environments using Innovative Test-beds/EAR-IT | en |
dc.description.sponsorship | EC/FP7/284628/EU/Sounds for Energy Control of Buildings/S4ECoB | en |
dc.description.sponsorship | EC/FP7/609180/EU/Energy efficient & Cost competitive retrofitting solutions for Shopping buildings/ECOSHOPPING | en |
dc.identifier.isbn | 978-3-939296-08-9 | |
dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/9746 | |
dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-8779 | |
dc.language.iso | en | |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
dc.subject.ddc | 534 Schall und verwandte Schwingungen | de |
dc.subject.ddc | 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten | de |
dc.subject.other | speech | en |
dc.subject.other | deep neural network | en |
dc.subject.other | DNN | en |
dc.subject.other | interaural level di erence | en |
dc.subject.other | ILD | en |
dc.subject.other | interaural phase difference | en |
dc.subject.other | IPD | en |
dc.subject.other | interaural time delay | en |
dc.subject.other | ITD | en |
dc.title | On sound source localization of speech signals using deep neural networks | en |
dc.type | Conference Object | en |
dc.type.version | publishedVersion | en |
dcterms.bibliographicCitation.originalpublishername | Deutsche Gesellschaft für Akustik e.V. | en |
dcterms.bibliographicCitation.originalpublisherplace | Berlin | en |
dcterms.bibliographicCitation.pageend | 1513 | |
dcterms.bibliographicCitation.pagestart | 1510 | |
dcterms.bibliographicCitation.proceedingstitle | Fortschritte der Akustik - DAGA 2015: 41. Jahrestagung für Akustik, 16. - 19. März 2015 in Nürnberg | en |
tub.accessrights.dnb | domain | |
tub.affiliation | Fak. 1 Geistes- und Bildungswissenschaften::Inst. Sprache und Kommunikation::FG Audiokommunikation | de |
tub.affiliation.faculty | Fak. 1 Geistes- und Bildungswissenschaften | de |
tub.affiliation.group | FG Audiokommunikation | de |
tub.affiliation.institute | Inst. Sprache und Kommunikation | de |
tub.publisher.universityorinstitution | Technische Universität Berlin | de |
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