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audio_path
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Me sika no, woaka ahen? |
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W'edzi nkɔmbɔ mprɛnsa |
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Ɔbɛbuei n'enyinwa ɔkyena |
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Translation: By the roadside |
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Ne yer |
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Adwoa Aboagye |
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To ndwom |
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Wɔ adwontow kuw bi mu |
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Epoowbɔ nnyɛ |
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Ɔmee nye Ɔfe |
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Nye dza Osei dze yɛɛ buburo yi |
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Tuu no |
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Kɔr dua bi ekyir |
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Ko buu no |
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Ɔsow aba pii |
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Mma aboa bi twee |
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Anyew ebaasa |
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Hyɛ n'enyim tee |
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Ewi no rehwehwɛ ehu |
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Ngo a oguu asuafo no do |
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Ma hɔn ho yɛ huam |
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Pia no biom |
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Ɔsowee ara pɛ |
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Na Ɔkɔ kɔ wui |
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Na biribiara dwoe |
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Tsentsen no |
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Dze susu sika no tɔɔ bɔɔl |
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Noho ayɛ fi paa |
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Ntsi ɔtɔɔ afe fa bi |
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Dza ohuu wɔ nkran |
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Mepawokyɛw |
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Oye |
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ɛpɛdɛ ɛyɛ ebɛnadze ndɛ? |
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Mereyɛ credit transfer 10 cedis transfer |
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Me pɛdɛ mo tɔ credit 10 cedis |
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Ebɛn Network? |
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Ebɛn Number na ɛpɛde ɛtɔ gu du? |
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Nyew |
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Oho |
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Yoo medaase |
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ɛretɔ egu ɛbɛn number do |
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Morotɔ egu 054 |
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Mepawokyɛw nyew |
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Mepawokyɛw me pɛdɛ mo tɔ mtn credit |
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Mepawokyɛw me number no yɛ 059 |
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Medaase |
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Me number no yɛ 024 |
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Oho, Oho, me pɛdɛ mo tɔ |
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Nyew |
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Dɛm ara |
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Mepawokyɛw m'asesa m’adwen |
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Medaase Nyankopɔn nhyira wo |
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Hello good morning, Mepawokyɛw moro tɔ credit |
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Me pɛdɛ mo tɔ credit na medze gu mtn number do |
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Mepawokyɛw nyew |
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M'ehu, m'ayɛ ewie |
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Medaase mensa aka |
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Mepawokyɛw nyew |
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Mepawokyɛw mara so medaase |
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Me credit no aka ahen? |
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Abofraba no tow ndwom |
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Fa to hɔ |
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Ma me bi |
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Mefir Ghana |
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Abofraba yi |
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ɔno ekyir no |
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Enyin sen me |
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Dza odzi kan |
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Meda wo ase |
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Ma me bebiree |
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Yɛ wɔ |
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Nsu |
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Yaw na Ama |
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Mber nnyi hɔ |
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Nyimpa nnyɛ |
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Hɔn tsir |
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Hwɛ sor |
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Morodwen wo ho |
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Iyinom nyinara yɛ wodze |
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Bra ha |
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Mo ho ye paa |
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Mo ho ye papaapa |
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Osiandɛ |
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Osiandɛ |
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Akwaaba |
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Sua adze |
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Gye dzi |
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Ese dɛn |
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Kosɛ, Mannhyɛ daara |
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Kosɛ |
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Nyew |
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Oho |
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Efi hen? |
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Etse brɔfo a? |
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Eka brɔfo a? |
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Kyerɛw ma me |
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Me nsa aka |
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M'ayew |
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Ebɔtum akyerɛ me hɔ ? |
|
ɛkɔm dze me |
Fante Multispeaker Audio Transcribed Dataset
Overview
The Fante Multispeaker Audio Transcribed dataset is a collection of speech recordings and their transcriptions in Fante, 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.
Dataset Details
- Source: The dataset is derived from the Financial Inclusion Speech Dataset, which focuses on financial conversations in Fante.
- Format: The dataset consists of audio recordings (.wav) and corresponding transcriptions (.txt or .csv).
- Speakers: Multiple speakers contribute to the dataset, making it useful for speaker-independent ASR models.
- Domain: Primarily focused on financial and general conversations.
Splits
The dataset is divided as follows:
- Train Set: 90% of the data
- Test Set: 10% of the data
Use Cases
This dataset is useful for:
- Training and evaluating ASR models for Fante.
- Developing Fante language models and NLP applications.
- Linguistic analysis of Fante speech.
Usage
To use this dataset in your Hugging Face project, you can load it as follows:
from datasets import load_dataset
dataset = load_dataset("michsethowusu/fante_multispeaker_audio_transcribed")
License
Refer to the original dataset repository for licensing details: Financial Inclusion Speech Dataset.
Acknowledgments
This dataset is based on the work by Ashesi-Org. Special thanks to contributors who helped in data collection and annotation. I am only making it more accessible for machine learning.
Citation
If you use this dataset in your research or project, please cite it appropriately:
@misc{financialinclusion2022,
author = {Asamoah Owusu, D., Korsah, A., Quartey, B., Nwolley Jnr., S., Sampah, D., Adjepon-Yamoah, D., Omane Boateng, L.},
title = {Financial Inclusion Speech Dataset},
year = {2022},
publisher = {Ashesi University and Nokwary Technologies},
url = {https://github.com/Ashesi-Org/Financial-Inclusion-Speech-Dataset}
}
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