NbAiLab/NPSC
The Norwegian Parliament Speech Corpus (NPSC) is a corpus for training a Norwegian ASR (Automatic Speech Recognition) models. The corpus is created by Språkbanken at the National Library in Norway. NPSC is based on sound recording from meeting in the Norwegian Parliament. These talks are orthographically transcribed to either Norwegian Bokmål or Norwegian Nynorsk. In addition to the data actually included in this dataset, there is a significant amount of metadata that is included in the original corpus. Through the speaker id there is additional information about the speaker, like gender, age,
| Author / organization | NbAiLab |
|---|---|
| License (as declared) | cc0-1.0 |
| Downloads | 998 (as reported by Hugging Face) |
| Likes | 10 |
| Created | 2 March 2022 |
| Last updated at source | 14 August 2024 |
Popularity, last 2 days
998 now (+21 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- NbAiLab/nb-whisper-largeModel · used to train
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- NbAiLab/nb-whisper-tinyModel · used to train
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- NbAiLab/nb-whisper-mediumModel · used to train
- NbAiLab/nb-wav2vec2-300m-bokmaalModel · used to train
- NbAiLab/nb-wav2vec2-1b-bokmaalModel · used to train
- NbAiLab/nb-wav2vec2-1b-nynorskModel · used to train
- NbAiLab/nb-whisper-baseModel · used to train
- NbAiLab/nb-wav2vec2-300m-nynorskModel · used to train
- NbAiLab/nb-whisper-large-verbatimModel · used to train
- NbAiLab/nb-whisper-smallModel · used to train
- NbAiLab/nb-whisper-medium-verbatimModel · used to train
- NbAiLabBeta/nb-whisper-largeModel · used to train
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