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Me sika no, woaka ahen?
W'edzi nkɔmbɔ mprɛnsa
Ɔbɛbuei n'enyinwa ɔkyena
Translation: By the roadside
Ne yer
Adwoa Aboagye
To ndwom
Wɔ adwontow kuw bi mu
Epoowbɔ nnyɛ
Ɔmee nye Ɔfe
Nye dza Osei dze yɛɛ buburo yi
Tuu no
Kɔr dua bi ekyir
Ko buu no
Ɔsow aba pii
Mma aboa bi twee
Anyew ebaasa
Hyɛ n'enyim tee
Ewi no rehwehwɛ ehu
Ngo a oguu asuafo no do
Ma hɔn ho yɛ huam
Pia no biom
Ɔsowee ara pɛ
Na Ɔkɔ kɔ wui
Na biribiara dwoe
Tsentsen no
Dze susu sika no tɔɔ bɔɔl
Noho ayɛ fi paa
Ntsi ɔtɔɔ afe fa bi
Dza ohuu wɔ nkran
Mepawokyɛw
Oye
ɛpɛdɛ ɛyɛ ebɛnadze ndɛ?
Mereyɛ credit transfer 10 cedis transfer
Me pɛdɛ mo tɔ credit 10 cedis
Ebɛn Network?
Ebɛn Number na ɛpɛde ɛtɔ gu du?
Nyew
Oho
Yoo medaase
ɛretɔ egu ɛbɛn number do
Morotɔ egu 054
Mepawokyɛw nyew
Mepawokyɛw me pɛdɛ mo tɔ mtn credit
Mepawokyɛw me number no yɛ 059
Medaase
Me number no yɛ 024
Oho, Oho, me pɛdɛ mo tɔ
Nyew
Dɛm ara
Mepawokyɛw m'asesa m’adwen
Medaase Nyankopɔn nhyira wo
Hello good morning, Mepawokyɛw moro tɔ credit
Me pɛdɛ mo tɔ credit na medze gu mtn number do
Mepawokyɛw nyew
M'ehu, m'ayɛ ewie
Medaase mensa aka
Mepawokyɛw nyew
Mepawokyɛw mara so medaase
Me credit no aka ahen?
Abofraba no tow ndwom
Fa to hɔ
Ma me bi
Mefir Ghana
Abofraba yi
ɔno ekyir no
Enyin sen me
Dza odzi kan
Meda wo ase
Ma me bebiree
Yɛ wɔ
Nsu
Yaw na Ama
Mber nnyi hɔ
Nyimpa nnyɛ
Hɔn tsir
Hwɛ sor
Morodwen wo ho
Iyinom nyinara yɛ wodze
Bra ha
Mo ho ye paa
Mo ho ye papaapa
Osiandɛ
Osiandɛ
Akwaaba
Sua adze
Gye dzi
Ese dɛn
Kosɛ, Mannhyɛ daara
Kosɛ
Nyew
Oho
Efi hen?
Etse brɔfo a?
Eka brɔfo a?
Kyerɛw ma me
Me nsa aka
M'ayew
Ebɔtum akyerɛ me hɔ ?
ɛkɔm dze me
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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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