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NISQA Speech Quality Corpus
dc.contributor.author | Mittag, Gabriel | |
dc.date.accessioned | 2021-04-14T10:22:04Z | |
dc.date.available | 2021-04-14T10:22:04Z | |
dc.date.issued | 2021-04 | |
dc.description.abstract | The NISQA Speech Quality Corpus contains two training, two validation and four test datasets that have been used for training and evaluating the deep learning based speech quality model NISQA. Overall, it contains more than 9,000 speech files with annotated speech quality and speech quality dimension ratings. | en |
dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/13012.2 | |
dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-11807.2 | |
dc.language.iso | en | en |
dc.language.iso | de | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject.ddc | 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten | en |
dc.subject.other | speech quality | en |
dc.subject.other | deep learning | en |
dc.subject.other | speech samples | en |
dc.subject.other | machine learning | en |
dc.subject.other | quality of experience | en |
dc.title | NISQA Speech Quality Corpus | en |
dc.type | Audio | |
tub.accessrights.dnb | unknown | * |
tub.affiliation | Fak. 4 Elektrotechnik und Informatik>Inst. Softwaretechnik und Theoretische Informatik>Quality and Usability Lab | de |
tub.affiliation.faculty | Fak. 4 Elektrotechnik und Informatik | de |
tub.affiliation.group | Quality and Usability Lab | de |
tub.affiliation.institute | Inst. Softwaretechnik und Theoretische Informatik | de |