| dc.contributor.author | Hernández Mena, Carlos Daniel |
| dc.date.accessioned | 2022-06-13T09:04:01Z |
| dc.date.available | 2022-06-13T09:04:01Z |
| dc.date.issued | 2022-06-09 |
| dc.identifier.uri | http://hdl.handle.net/20.500.12537/226 |
| dc.description | "6-GRAM Language Model in Icelandic for NeMo (Binary Format) 22.06" is a word level n-gram language model in binary format suitable for recognizers based on the NVIDIA-NeMo framework. "Íslenskt 6-stæðu mállíkan fyrir NeMo (Binary útgáfa) 22.06" er n-stæðu orðtákna mállíkan á bitasniði til að nota með talgreinum sem eru búnir til í NVIDIA-NeMo umhverfinu. |
| dc.language.iso | isl |
| dc.publisher | Language and Voice Lab, Reykjavík University |
| 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.subject | Language Model |
| dc.subject | Speech Recognition |
| dc.subject | NeMo |
| dc.title | 6-GRAM Language Model in Icelandic for NeMo (Binary Format) 22.06 |
| dc.type | languageDescription |
| metashare.ResourceInfo#ContentInfo.detailedType | other |
| metashare.ResourceInfo#ContentInfo.mediaType | text |
| has.files | yes |
| branding | Clarin IS Repository |
| contact.person | Carlos Mena carlosm@ru.is Reykjavík University |
| sponsor | Icelandic Ministry of Education, Science and Culture H16 - Speech recognition methods in other systems Language Technology Programme for Icelandic 2019-2023 nationalFunds |
| size.info | 5.4 gb |
| files.size | 5433977174 |
| files.count | 2 |
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6-GRAM Language Model in Icelandic for NeMo (Binary Format) 22.06
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Authors : Carlos Daniel Hernández Mena (carlosm@ru.is).
Language : Icelandic.
Recommended use : speech recognition.
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Description
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"6-GRAM Language Model in Icelandic for NeMo (Binary Format) 22.06" is a
word level n-gram language model in binary format suitable for recognizers
based on the NVIDIA-NeMo framework [1].
This language model was originally created to be used in the field of
Automatic Speech Recognition (ASR). In specific, it was designed for the
following NeMo recipe, developed by the Language and Voice Lab (LVL) at
Reykjavík University in 2022: . . .