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--- |
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language: |
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- tw |
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license: cc-by-4.0 |
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task_categories: |
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- automatic-speech-recognition |
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- text-to-speech |
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task_ids: |
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- keyword-spotting |
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multilinguality: |
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- monolingual |
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size_categories: |
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- 1K<n<10K |
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modalities: |
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- audio |
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- text |
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dataset_info: |
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features: |
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- name: audio |
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dtype: audio |
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- name: text |
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dtype: string |
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config_name: default |
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splits: |
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- name: train |
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num_bytes: 0 |
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num_examples: 21138 |
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download_size: 0 |
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dataset_size: 0 |
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tags: |
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- speech |
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- twi |
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- akan |
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- ghana |
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- african-languages |
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- low-resource |
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- parallel-corpus |
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pretty_name: Twi Speech-Text Parallel Dataset |
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--- |
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# Twi Speech-Text Parallel Dataset |
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## Dataset Description |
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This dataset contains 21138 parallel speech-text pairs for Twi (Akan), a language spoken primarily in Ghana. The dataset consists of audio recordings paired with their corresponding text transcriptions, making it suitable for automatic speech recognition (ASR) and text-to-speech (TTS) tasks. |
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### Dataset Summary |
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- **Language**: Twi (Akan) - `tw` |
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- **Task**: Speech Recognition, Text-to-Speech |
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- **Size**: 21138 audio files > 1KB (small/corrupted files filtered out) |
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- **Format**: WAV audio files with corresponding text files |
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- **Modalities**: Audio + Text |
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### Supported Tasks |
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- **Automatic Speech Recognition (ASR)**: Train models to convert Twi speech to text |
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- **Text-to-Speech (TTS)**: Use parallel data for TTS model development |
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- **Keyword Spotting**: Identify specific Twi words in audio |
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- **Phonetic Analysis**: Study Twi pronunciation patterns |
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## Dataset Structure |
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### Data Fields |
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- `audio`: Audio file in WAV format |
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- `text`: Corresponding text transcription from paired text file |
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### Data Splits |
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The dataset contains a single training split with 21138 filtered audio-text pairs. |
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## Dataset Creation |
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### Source Data |
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The audio data has been sourced ethically from consenting contributors. To protect the privacy of the original authors and speakers, specific source information cannot be shared publicly. |
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### Data Processing |
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1. Audio files and corresponding text files were collected from organized folder structure |
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2. Text content was read from separate `.txt` files with matching filenames |
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3. Files smaller than 1KB were filtered out to ensure audio quality |
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4. Empty text files were excluded from the dataset |
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5. Audio was processed using the [MMS-300M-1130 Forced Aligner](https://huggingface.co/MahmoudAshraf/mms-300m-1130-forced-aligner) tool for alignment and quality assurance |
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### Annotations |
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Text annotations are stored in separate text files with matching filenames to the audio files, representing the spoken content in each audio recording. |
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## Considerations for Using the Data |
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### Social Impact of Dataset |
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This dataset contributes to the preservation and digital representation of Twi, supporting: |
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- Language technology development for underrepresented languages |
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- Educational resources for Twi language learning |
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- Cultural preservation through digital archives |
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### Discussion of Biases |
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- The dataset may reflect the pronunciation patterns and dialects of specific regions or speakers |
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- Audio quality and recording conditions may vary across samples |
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- The vocabulary is limited to the words present in the collected samples |
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### Other Known Limitations |
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- Limited vocabulary scope (word-level rather than sentence-level) |
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- Potential audio quality variations |
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- Regional dialect representation may be uneven |
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## Additional Information |
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### Licensing Information |
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This dataset is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0). |
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### Citation Information |
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If you use this dataset in your research, please cite: |
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``` |
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@dataset{twi_words_parallel_2025, |
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title={Twi Words Speech-Text Parallel Dataset}, |
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year={2025}, |
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publisher={Hugging Face}, |
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howpublished={\url{https://huggingface.co/datasets/[your-username]/twi-words-speech-text-parallel}} |
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} |
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``` |
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### Acknowledgments |
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- Audio processing and alignment performed using [MMS-300M-1130 Forced Aligner](https://huggingface.co/MahmoudAshraf/mms-300m-1130-forced-aligner) |
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- Thanks to all contributors who provided audio samples while maintaining privacy protection |
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### Contact |
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For questions or concerns about this dataset, please open an issue in the dataset repository. |
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