NISQA Speech Quality Corpus

dc.contributor.authorMittag, Gabriel
dc.date.accessioned2021-04-14T10:22:04Z
dc.date.available2021-04-14T10:22:04Z
dc.date.issued2021-04
dc.description.abstractThe 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.urihttps://depositonce.tu-berlin.de/handle/11303/13012.2
dc.identifier.urihttp://dx.doi.org/10.14279/depositonce-11807.2
dc.language.isoenen
dc.language.isodeen
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.ddc620 Ingenieurwissenschaften und zugeordnete Tätigkeitenen
dc.subject.otherspeech qualityen
dc.subject.otherdeep learningen
dc.subject.otherspeech samplesen
dc.subject.othermachine learningen
dc.subject.otherquality of experienceen
dc.titleNISQA Speech Quality Corpusen
dc.typeAudio
tub.accessrights.dnbunknown*
tub.affiliationFak. 4 Elektrotechnik und Informatik::Inst. Softwaretechnik und Theoretische Informatik::Quality and Usability Labde
tub.affiliation.facultyFak. 4 Elektrotechnik und Informatikde
tub.affiliation.groupQuality and Usability Labde
tub.affiliation.instituteInst. Softwaretechnik und Theoretische Informatikde

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Version History

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VersionDateSummary
2021-04-17 12:19:13
Adding AusTalk data
2021-04-14 10:05:10
Fixing some mistakes in the .csv files
2021-04-13 09:53:49