Prikaži enostavni zapis vnosa
| dc.contributor.author |
Bajec, Marko |
| dc.date.accessioned |
2025-09-15T13:51:59Z |
| dc.date.available |
2025-09-15T13:51:59Z |
| dc.date.issued |
2022-12-01 |
| dc.identifier.uri |
http://hdl.handle.net/11356/2047 |
| dc.description |
Docker image with ASR evaluation tool that has support for WER calculation on punctuated and capitalised transcripts. The UI allows uploading the reference and predicted transcripts, and choice to perform WER calculation with or without consideration of punctuation and capitalisation. When punctuation and capitalisation is considered the resulting WER is augmented by the accuracy, recall and F1 statistics for punctuation (comma, full stop, question mark, exclamation point) and capital letters.
Start the service by running "docker image load <evaluator.1.0.3.tar.gz" followed by "docker run -ti --rm eval-service:1.0.3". This will start a web service on http://localhost:8888. Use the tool by visiting the said address. |
| dc.language.iso |
slv |
| dc.publisher |
Faculty of Computer and Information Science, University of Ljubljana |
| dc.rights |
Apache License 2.0 |
| dc.rights.uri |
https://opensource.org/licenses/Apache-2.0 |
| dc.rights.label |
PUB |
| dc.source.uri |
https://rsdo.slovenscina.eu/ |
| dc.subject |
speech recognition |
| dc.subject |
speech transcription |
| dc.subject |
evaluation |
| dc.title |
ASR model evaluator |
| dc.type |
toolService |
| metashare.ResourceInfo#ContentInfo.detailedType |
tool |
| metashare.ResourceInfo#ResourceComponentType#ToolServiceInfo.languageDependent |
false |
| has.files |
yes |
| branding |
CLARIN.SI data & tools |
| demo.uri |
https://evaluator.true-bar.si/ |
| contact.person |
Marko Bajec marko.bajec@fri.uni-lj.si Faculty of Computer and Information Science, University of Ljubljana |
| sponsor |
Ministry of Culture C3340-20-278001 Development of Slovene in a Digital Environment Other |
| files.count |
1 |
| files.size |
194592886 |
Datoteke v tem vnosu
To je vnos
Publicly Available
z licenco:
Apache License 2.0
- Ime
- evaluator.1.0.3.tar.gz
- Velikost
- 185.58
MB
- Format
- application/gzip
- Opis
- ASR model evaluator 1.0.3
- MD5
- adc1ef3ef2e1a05cd48bf55b20fa5d5a
Prenesi datoteko
Predogled
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- repositories94 B
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- manifest.json3 kB
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Prikaži enostavni zapis vnosa
