| dc.contributor.author | Örnólfsson, Gunnar Thor |
| dc.contributor.author | Sigurgeirsson, Atli Þór |
| dc.contributor.author | Nikulásdóttir, Anna Björk |
| dc.contributor.author | Schnell, Daniel |
| dc.date.accessioned | 2026-06-03T15:40:06Z |
| dc.date.available | 2026-06-03T15:40:06Z |
| dc.date.issued | 2025-08-25 |
| dc.identifier.uri | http://hdl.handle.net/20.500.12537/387 |
| dc.description | ENGLISH: Talrómur 3 is a public domain speech corpus for Text-To-Speech (TTS) research and development in the domain of emotional speech synthesis. The corpus consists of 21,528 audio clips of ten different speakers reading short sentences. The audio was recorded in 2024 by Reykjavík University and Grammatek as part of The Icelandic Language Technology Program. Each speaker read a script of 340 utterances in 6 different styles (neutral, happy, sad, angry, surprised and helpful). Additionally, each speaker read all letters in the icelandic alphabet and numbers from 0 to 20 both in isolation and as part of an enumeration. The audio is recorded at 48 kHz sample rate and 24 bit depth. Each audio file is stored in .flac format. In addition to the audio recordings, this corpus includes Voice Activity Detection (VAD) values for each utterance, obtained using Silero VAD, as well as Montreal Forced Aligner (MFA) phoneme-level alignments. These additional data can be used to trim the audio or during model training. ICELANDIC: Talrómur 3 er opið gagnasafn ætlað til rannsókna og þróunar á talgervlum fyrir íslensku á sviði tilfinningaríkrar talgervingar. Gagnasafnið inniheldur 21.528 stuttar upptökur frá tíu mismunandi röddum. Hákólinn í Reykjavík og Grammatek stóðu að söfnun gagnanna árið 2024 á vegum Máltækniáætlunar fyrir íslensku. Fyrir hverja rödd hafa 340 segðir verið lesnar inn í 6 mismunandi tilbrigðum (hlutlaus, gleði, depurð, reiði, undrun og hjálpsemi). Þar að auki voru lesnir inn allir stafir stafrófsins og tölur frá 0 upp í 20 á tvo mismunandi vegu: í einangrun og líkt og í upptalningu. Hljóðskrárnar voru teknar upp í 48 kHz og með 24 bita dýpt. Skrárnar eru geymdar á .flac sniði Auk hljóðskránna inniheldur þessi útgáfa raddvirknimerkingar (Voice Activity Detection values) fyrir hverja segð, fengnar með Silero VAD, auk Montreal Forced Aligner (MFA) samraðana á hljóðanaskala. Þessi viðbótargögn geta nýst til að snyrta hljóðskrárnar eða við þjálfun líkana. |
| dc.language.iso | isl |
| dc.publisher | Reykjavík University |
| dc.relation.replaces | http://hdl.handle.net/20.500.12537/344 |
| dc.rights | Creative Commons - Attribution 4.0 International (CC BY 4.0) |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ |
| dc.rights.label | PUB |
| dc.source.uri | https://github.com/icelandic-lt/emospeech-scripts |
| dc.subject | TTS |
| dc.subject | Emotional Speech |
| dc.subject | Speech |
| dc.subject | Alignments |
| dc.subject | VAD |
| dc.title | Talrómur 3 (v1.0) |
| dc.type | corpus |
| metashare.ResourceInfo#ContentInfo.mediaType | audio |
| has.files | yes |
| branding | Clarin IS Repository |
| contact.person | Gunnar Thor Ornolfsson ornolfsson@gmail.com Háskóli Íslands |
| sponsor | Ministry of Culture and Business Affairs Recordings of emotional speech (T14) Language Technology for Icelandic nationalFunds |
| size.info | 24 hours |
| size.info | 21518 utterances |
| size.info | 6.4 gb |
| files.size | 6854668586 |
| files.count | 6 |
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- Name
- recordings.zip
- Size
- 6.34 GB
- Format
- application/zip
- Description
- Speech recordings and transcripts
- MD5
- 203b01193333cfe2099fd5162b129319
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- surprised
- M04
- ... too many files ...0 B
- Name
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- Size
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- Format
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- Description
- Voice Activity values from Silero VAD
- MD5
- 3a555c43713094a65070f1af2908d58b
- vad
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- Name
- README.md
- Size
- 8.68 KB
- Format
- Unknown
- Description
- Corpus description
- MD5
- ed0a89c83eb218f4e6bab22eb225f4fe
- Name
- LESIST.md
- Size
- 9.25 KB
- Format
- Unknown
- Description
- Lýsingarskrá á íslensku
- MD5
- 3d09e19368bc759f8222935179acf4fa
- Name
- alignment.zip
- Size
- 20.05 MB
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- Name
- alignment_json.zip
- Size
- 19.43 MB
- Format
- application/zip
- Description
- MFA alignments in JSON format
- MD5
- a8924bcd86f4040b0934dd3ac6d1723f
- alignment_json
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