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--- |
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license: cc0-1.0 |
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task_categories: |
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- text-to-speech |
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- automatic-speech-recognition |
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language: |
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- 'no' |
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- nb |
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tags: |
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- librivox |
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pretty_name: NB-LibriVox |
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size_categories: |
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- 1K<n<10K |
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--- |
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# 📄 NB-LibriVox |
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A high-quality Norwegian text-to-speech (TTS) dataset derived from LibriVox public domain audiobooks. It includes audio clips with pseudo-aligned transcripts and punctuation, curated by the National Library of Norway for speech synthesis and ASR research. |
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--- |
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## 📂 Dataset Overview |
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| **Field** | **Description** | |
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|-------------------|---------------------------------------------------------------------------------| |
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| `file_name` | Audio file name in `.wav` format | |
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| `id` | Unique identifier for each utterance/sample | |
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| `text` | Transcript automatically generated using NB-Whisper Large and nb-wav2vec2 | |
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| `text_punct` | Transcript with punctuation automatically added using Qwen3 | |
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| `speaker_id` | Identifier of the speaker | |
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| `speaker_name` | Name of the speaker | |
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| `speaker_gender` | Gender of the speaker (e.g., `male`, `female`, `unknown`) | |
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| `speaker_status` | Speaker's native status (e.g., `L1`, `L2`) | |
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| `title` | Title of the source audiobook | |
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| `author` | Author of the original text | |
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| `sequence` | Position of the utterance within the audiobook file | |
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| `duration` | Duration of the audio clip in seconds | |
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### Speaker Stats by Sample Count |
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| speaker_name | speaker_id | speaker_status | sample_count | total_duration (hrs) | avg_duration (secs) | |
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|------------------|----------------------|---------------|---------------|-----------------------|----------------------| |
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| Kathrine Engan | female_no_librivox_1 | L1 | 4,873 | 9.0871 | 6.713 | |
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| Kristin G | female_no_librivox_2 | L1 | 18 | 0.0525 | 10.388 | |
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| Austin Smith | male_no_librivox_male_1 | L2 | 16 | 0.0170 | 3.822 | |
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--- |
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## 📌 Additional Information |
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- **Language**: Norwegian (Bokmål) |
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- **Audio Format**: MPEG ADTS, layer III, v1, 64 kbps, 48 kHz, Monaural |
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- **Text Alignment**: |
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- **Method**: Pseudo-labeling and splitting of sentences up to 30 seconds |
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- **ASR Model**: [`NB-Whisper Large`](https://huggingface.co/NbAiLab/nb-whisper-large) |
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- **Supplementary Model**: [`nb-wav2vec2`](https://huggingface.co/NbAiLab/nb-wav2vec2-1b-bokmaal-v2) |
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- **Alignment Type**: Pseudo-labeling (not force-aligned) |
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- **Punctuation Model**: [Qwen3 235B](https://huggingface.co/Qwen/Qwen3-235B-A22B) |
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- **Total Duration**: 9 hours |
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- **Total Samples**: 4907 samples |
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--- |
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## 📜 Licensing & Usage |
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- **License**: Creative Commons Zero (CC0) |
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- **Data Source**: LibriVox public domain recordings |
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- **Dataset Creator**: National Library of Norway |
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> Free to use, modify, and distribute for any purpose, including commercial use. |
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--- |
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## ⚠️ Ethical Considerations |
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- All content is in the public domain and CC0-licensed. |
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- Speakers are volunteers; synthesized voices should not be used in misleading or impersonating contexts. |
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- Encourage transparency when using in generative applications (e.g., voice assistants, synthetic speech). |
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--- |
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## 📎 Citation |
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> “Norwegian LibriVox TTS Dataset (CC0), curated by the National Library of Norway. Transcripts pseudo-labeled using NB-Whisper Large and nb-wav2vec2.” |
