Speaker Identification for Swiss German with Spectral and Rhythm Features
| dc.contributor.author | Lykartsis, Athanasios | |
| dc.contributor.author | Weinzierl, Stefan | |
| dc.contributor.author | Dellwo, Volker | |
| dc.date.accessioned | 2020-02-24T17:33:58Z | |
| dc.date.available | 2020-02-24T17:33:58Z | |
| dc.date.issued | 2017-06-13 | |
| dc.description.abstract | We present results of speech rhythm analysis for automatic speaker identification. We expand previous experiments using similar methods for language identification. Features describing the rhythmic properties of salient changes in signal components are extracted and used in an speaker identification task to determine to which extent they are descriptive of speaker variability. We also test the performance of state-of-the-art but simple-to-extract frame-based features. The paper focus is the evaluation on one corpus (swiss german, TEVOID) using support vector machines. Results suggest that the general spectral features can provide very good performance on this dataset, whereas the rhythm features are not as successful in the task, indicating either the lack of suitability for this task or the dataset specificity. | en |
| dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/10821 | |
| dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-9716 | |
| dc.language.iso | en | en |
| dc.relation.ispartof | 10.14279/depositonce-9530 | |
| dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
| dc.subject.ddc | 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten | de |
| dc.subject.ddc | 780 Musik | de |
| dc.subject.other | speech rhythm | en |
| dc.subject.other | speaker identification | en |
| dc.subject.other | language identification | en |
| dc.subject.other | beat histogram | en |
| dc.subject.other | swiss german | en |
| dc.title | Speaker Identification for Swiss German with Spectral and Rhythm Features | en |
| dc.type | Conference Object | en |
| dc.type.version | acceptedVersion | en |
| dcterms.bibliographicCitation.articlenumber | 2-1 | en |
| dcterms.bibliographicCitation.originalpublishername | Audio Engineering Society | en |
| dcterms.bibliographicCitation.originalpublisherplace | New York, NY | en |
| dcterms.bibliographicCitation.proceedingstitle | 2017 AES International Conference on Semantic Audio | en |
| tub.accessrights.dnb | free | en |
| 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 | en |