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--- |
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tags: |
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- speech |
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- audio |
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- asr |
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- akuapem |
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- multilingual |
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license: mit |
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datasets: |
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- michsethowusu/akuapem_multispeaker_audio_transcribed |
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language: |
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- twi |
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language_bcp47: |
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- twi-akp |
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task_categories: |
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- automatic-speech-recognition |
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--- |
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# Akuapem Multispeaker Audio Transcribed Dataset |
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## Overview |
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The **Akuapem Multispeaker Audio Transcribed** dataset is a collection of speech recordings and their transcriptions in Akuapem Twi, a widely spoken dialect of the Akan language in Ghana. The dataset is designed for training and evaluating automatic speech recognition (ASR) models and other natural language processing (NLP) applications. |
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## Dataset Details |
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- **Source**: The dataset is derived from the [Financial Inclusion Speech Dataset](https://github.com/Ashesi-Org/Financial-Inclusion-Speech-Dataset), which focuses on financial conversations in Akuapem Twi. |
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- **Format**: The dataset consists of audio recordings (.wav) and corresponding transcriptions (.txt or .csv). |
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- **Speakers**: Multiple speakers contribute to the dataset, making it useful for speaker-independent ASR models. |
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- **Domain**: Primarily focused on financial and general conversations. |
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## Splits |
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The dataset is divided as follows: |
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- **Train Set**: 90% of the data |
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- **Test Set**: 10% of the data |
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## Use Cases |
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This dataset is useful for: |
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- Training and evaluating ASR models for Akuapem Twi. |
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- Developing Akuapem language models and NLP applications. |
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- Linguistic analysis of Akuapem Twi speech. |
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## Usage |
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To use this dataset in your Hugging Face project, you can load it as follows: |
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```python |
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from datasets import load_dataset |
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dataset = load_dataset("michsethowusu/akuapem_multispeaker_audio_transcribed") |
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``` |
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## License |
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Refer to the original dataset repository for licensing details: [Financial Inclusion Speech Dataset](https://github.com/Ashesi-Org/Financial-Inclusion-Speech-Dataset). |
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## Acknowledgments |
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This dataset is based on the work by [Ashesi-Org](https://github.com/Ashesi-Org). Special thanks to contributors who helped in data collection and annotation. **I am only making it more accessible for machine learning**. |
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## Citation |
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If you use this dataset in your research or project, please cite it appropriately: |
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``` |
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@misc{financialinclusion2022, |
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author = {Asamoah Owusu, D., Korsah, A., Quartey, B., Nwolley Jnr., S., Sampah, D., Adjepon-Yamoah, D., Omane Boateng, L.}, |
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title = {Financial Inclusion Speech Dataset}, |
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year = {2022}, |
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publisher = {Ashesi University and Nokwary Technologies}, |
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url = {https://github.com/Ashesi-Org/Financial-Inclusion-Speech-Dataset} |
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} |
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``` |
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