NISQA Speech Quality Corpus

dc.contributor.author	Mittag, Gabriel
dc.date.accessioned	2021-04-19T12:44:47Z
dc.date.available	2021-04-19T12:44:47Z
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 14,000 speech files with annotated speech quality and speech quality dimension ratings.	en
dc.identifier.uri	https://depositonce.tu-berlin.de/handle/11303/13012.5
dc.identifier.uri	http://dx.doi.org/10.14279/depositonce-11807.5
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