NST Norwegian ASR Database (16 kHz) - Reorganized
- Datasets
- Public access
Publicly available to everyone. Access may still require registration and an API key request, as long as anyone can request such registration and/or API keys.
- Open data
Description
This database was created by Nordic Language Technology for the development of automatic speech recognition and dictation in Norwegian. In this version (from 2022), the organization of the data has been altered to make the database more user friendly.
The data set was reviewed again in December 2023; duplicates were removed, metadata was cleaned up and filenames were standardized. See the documentation file for details.
In the original version of the material, the files were organized in a specific folder structure where the folder names were meaningful. However, the file names were not meaningful, and there were also cases of files with identical names in different folders. This proved to be impractical, since users had to keep the original folder structure in order to use the data.
The files have been renamed, such that each file name is unique and meaningful regardless of the folder structure. The original metadata files were in spl format; these have been converted to JSON format. The metadata files are anonymized, and the text encoding has been converted from ANSI to UTF-8. Metadata and transcriptions are also available as CSV files.
See the documentation file for a full description of the data and the changes that have been made to the database.
Distributions1
Nameless distribution- gtar
- gtar
- Description:
- Not provided
- Access URL:
- https://hdl.handle.net/21.11146/54
- Status:
- Not provided
- Direct download:
- API:
- Not provided
- Documentation:
- Not provided
- License:
- Conforms to:
- Not provided
- Rights for use:
- Not provided
APIs providing this dataset0
Similar datasets
| Norwegian Conversation Speech Corpus | Public access | |
| Translation memory from Nynorsk News Press Agency 2022 | Public access | |
| bokselskap.no 2023 | Public access | |
| Målfrid 2021 - Freely Available Documents from Norwegian State Institutions | Public access | |
| Norwegian Parliamentary Speech Corpus 2.0 | Public access |
Distributions1
Nameless distribution- gtar
- gtar
- Description:
- Not provided
- Access URL:
- https://hdl.handle.net/21.11146/54
- Status:
- Not provided
- Direct download:
- API:
- Not provided
- Documentation:
- Not provided
- License:
- Conforms to:
- Not provided
- Rights for use:
- Not provided
APIs providing this dataset0
Contact information
- Contact point:
- Not provided
- Website:
- https://www.nb.no/sprakbanken/
- Email:
- sprakbanken@nb.no
- Telephone:
- Not provided
About the data
- Language:
- Content providers:
- Not provided
- Provenance:
- Not provided
- Update frequency:
- Not provided
- First issued:
This date indicates when the data in this dataset was first released. It may have happened before the dataset was published on data.norge.no.
- January 5, 1998
- Last updated:
- December 19, 2023
- Geographical scope:
- Not provided
- Temporal scope:
- Not provided
- Conforms to:
Reference to an implementation rule or other specification that forms the basis for the dataset.
- Not provided
- Quality annotations:
- Not provided
Applicable legislation
Concepts used in the dataset
References
Fees
About this dataset
- Publisher:
- Nasjonalbiblioteket
- Published:
This date indicates when the dataset was harvested by data.norge.no. It may have been available earlier elsewhere.
- August 24, 2021
- Last updated:
- March 13, 2026
- Landing page:
- Not provided
- Documentation:
- Not provided
- Dataset type:
- Not provided
- Metadata Quality:
Metadata quality is an indicator of how well the datasets are described using metadata.
- Good (59%)
- URI:
Themes
Keywords
Discussions on Datalandsbyen0
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Resource Description Framework (RDF)All URLs to resources on data.norge.no can provide RDF metadata in various formats, depending on the Accept header sent with the request.
All URLs to resources on data.norge.no can provide RDF metadata in various formats, depending on the Accept header sent with the request.