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---
license: cc-by-sa-4.0
language:
- tig
tags:
- Tigre language
- Eritrea
- Audio
- Speech Corpus
- ASR
- low-resource
pretty_name: Tigre Broadcast Speech Corpus
---
# 🇪🇷 Tigre Speech Corpus (Broadcast Audio)
A large-scale, open-source speech dataset for the **Tigre language** (ISO 639-3: `tig`), developed to support **Automatic Speech Recognition (ASR)**, **speech technology research**, and **language documentation** for one of the least-resourced languages in the Afro-Asiatic family.
This corpus provides **hundreds of hours of real-world spoken Tigre**, sourced from long-form public radio programming, making it one of the most substantial publicly available speech resources for any low-resource East African language.
---
## Dataset Summary
The dataset is derived from **public radio broadcasts**, covering a wide range of non-fiction spoken genres:
- News bulletins
- Long-form reports
- Radio interviews
- Documentaries
- Public-interest programming
These recordings provide natural speech, varied speaking styles, and realistic acoustic conditions—ideal for training **robust ASR systems**.
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## Key Statistics
| Feature | Detail |
| ------------------ | --------------------------------------------------------- |
| **Language** | Tigre (`tig`) |
| **Source** | Public Radio Broadcasts (News, Interviews, Documentaries) |
| **File Format** | MP3 |
| **Total Files** | 2,227 |
| **Total Duration** | **~582 hours** |
This scale makes the corpus valuable for both **supervised ASR** and **self-supervised speech representation learning**.
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## Duration & Distribution
The dataset contains **2,227 MP3 audio files** with a combined duration of **approximately 582 hours**.
The files naturally fall into three nearly equal length categories:
- **Short:** 1–11 minutes
- **Medium:** 11–14 minutes
- **Long:** 14–61 minutes
This balanced distribution is especially beneficial for models that require **varied utterance lengths** and **diverse acoustic environments**.
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## Intended Use
This dataset is ideal for:
### Speech Technology
1. Training and finetuning **ASR models** (e.g., Wav2Vec2.0, HuBERT, Whisper, MMS).
2. Pretraining **self-supervised speech encoders** for low-resource African languages.
3. Developing **acoustic models**, **segmentation systems**, and **forced aligners**.
### Research & Linguistics
4. Studying Tigre phonetics, prosody, and dialectal variation.
5. Supporting linguistic documentation and preservation efforts.
6. Building evaluation benchmarks for East African low-resource speech processing.
### Societal Impact
7. Creating digital tools for accessibility, education, and public information.
8. Expanding language technology inclusion for Eritrean languages.
9. Supporting nonprofit and humanitarian applications requiring speech resources.
---
## Ethical & Licensing Notes
- All recordings originate from **publicly available radio broadcasts**.
- The dataset is provided under **CC BY-SA 4.0**, allowing research and derivative works with attribution.
- Users must ensure responsible and culturally respectful use.
- The corpus must **not** be used for surveillance, profiling, or any harmful activity.
---
## Acknowledgments
This dataset is made possible through the efforts of:
- Tigre-speaking contributors and archivists preserving audio material
- The broader Eritrean community supporting language resource creation
- Researchers working to expand technology access for low-resource languages