Samromur Queries 21.12

  Authors

Hedström, Staffan ; et al.show everyone

Hedström, Staffan ; Fong, Judy Y ; Þórhallsdóttir, Ragnheiður ; Mollberg, David Erik ; Guðmundsson, Smári Freyr ; Jónsson, Ólafur Helgi ; Þorsteinsdóttir, Sunneva ; Magnúsdóttir, Eydís Huld ; Gudnason, Jon

  Item identifier

http://hdl.handle.net/20.500.12537/180

 Project URL

https://github.com/cadia-lvl/samromur

 Date issued

2021-12-31

 Type

audio, corpus

 Size

20 hours, 1.2 gb, 17475 utterances

 Language(s)

Icelandic

 Description

This release of data from the Samrómur collection focuses on queries. It contains 17,475 (20 hours) of validated speech-recordings in Icelandic. The corpus is a result of the crowd-sourcing effort run by the Language and Voice Lab (LVL) at Reykjavík University, in cooperation with Almannarómur, the Icelandic Center for Language Technology. The recording process was started in October 2019 and continues to this day (December 2021). The corpus contains 3,809 speakers and has been split into train, dev, and test sets. Lengths of the sets are: train = 16h, test = 2h, dev = 2h. Each subset contains folders that correspond to speaker IDs, and the audio files inside use the following naming convention: {speaker_ID}-{utterance_ID}.flac. The average recording length is 4.1 seconds. Þessi útgáfa gagna úr safni Samróms einblínir á fyrirspurnir. Útgáfan inniheldur 17.475 (20 klst.) staðfestar talupptökur á íslensku. Málheildin er afrakstur lýðvistunar (e. crowd sourcing) á vegum Mál- og raddtæknistofu (LVL) við Gervigreindarsetur Háskólans í Reykjavík, í samvinnu við Almannaróm, miðstöð máltækni á Íslandi. Upptökur hófust í október 2019 og standa enn yfir (desember 2021). Hópurinn inniheldur 3.809 mismunandi raddir og hefur verið skipt í þjálfunar- (train), þróunar- (dev) og prófunarsett (test). Lengd settanna er: þjálfunarsett = 16 klst, prófunarsett = 2 klst, þróunarsett = 2 klst. Hvert sett inniheldur möppur sem samsvara auðkenni raddar. Hljóðskrárnar nota eftirfarandi nafnareglur: {speaker_ID}-{utterance_ID}.flac. Meðallengd upptöku er 4,1 sekúnda.

 Publisher

Reykjavík University

 Acknowledgement

Ministry of Education, Science and Culture

Project code: Transcribing dialogue and queries (H3)

Project name: Language Technology for Icelandic 2019-2023;nationalFunds

 Subject(s)

audio corpus speech recognition automatic speech recognition queries

 Collection(s)

Clarin IS

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