| --- |
| 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) |
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| 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. |
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| 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. |
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| ## Dataset Summary |
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| The dataset is derived from **public radio broadcasts**, covering a wide range of non-fiction spoken genres: |
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| - 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 |
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| | Feature | Detail | |
| | ------------------ | --------------------------------------------------------- | |
| | **Language** | Tigre (`tig`) | |
| | **Source** | Public Radio Broadcasts (News, Interviews, Documentaries) | |
| | **File Format** | MP3 | |
| | **Total Files** | 2,227 | |
| | **Total Duration** | **~582 hours** | |
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| This scale makes the corpus valuable for both **supervised ASR** and **self-supervised speech representation learning**. |
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| ## Duration & Distribution |
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| 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: |
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| - **Short:** 1–11 minutes |
| - **Medium:** 11–14 minutes |
| - **Long:** 14–61 minutes |
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| This balanced distribution is especially beneficial for models that require **varied utterance lengths** and **diverse acoustic environments**. |
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| ## Intended Use |
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| This dataset is ideal for: |
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| ### Speech Technology |
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| 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**. |
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| ### Research & Linguistics |
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| 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. |
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| ### Societal Impact |
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| 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. |
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| ## Ethical & Licensing Notes |
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| - 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. |
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| ## Acknowledgments |
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| This dataset is made possible through the efforts of: |
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| - 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 |
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