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Ɔbebue n'ani ɔkyena
Wɔ ńkwankyɛn
Ne yere
Adwoa Aboagye
To nnwom
Apoobɔ nnyɛ
Ɔmee ne Ɛfeɛ
Ne nea Ɔsɛe de yɛɛ buburoo wei
Dan mu
Tuu no
Kɔɔ dua bi akyi
Ko buu no
Ɛsoo aba pii
Awi no rehwehwɛ ahu
Maa wɔn ho yɛɛ huam
Pia no bio
Ɛsoe pɛ
Na ɔkɔe kowui
Na biribiara dwoi
Neho ayɛ fi paa
A ohuu wɔ nkran
Mepaa’kyɛw (spoken. Written: Mepawokyew)
ɛte sɛn
ɛyɛ
Wo pɛsɛ wo yɛ deɛn ɛnɛ
Mee yɛ credit transfer 10 cedis
Me pɛsɛ me tɔ credit 10 cedis
Network bɛn
Mtn
Number bɛn na wo pɛse wo tɔ gu su
Aane
Yoo medaase
Woo tɔ akɔ number bɛn so
Mepaa’kyɛw Aane (spoken)
Mepaa’kyɛw me pɛsɛ me tɔ mtn credit
Mepaa’kyɛw me number no yɛ 059
Medaase
Me number yɛ 024
Daabi daabi me pɛ sɛ me tɔ
Aane
Mepaa’kyɛw ma sesa m’adwene
Medaase Nyame nhyira wo
Hello good morning. Mepaa’kyew mɛ tɔ credit (Maakye mepaa’kyew mɛ tɔ credit)
Me pɛse me tɔ credit na me de gu mtn number so
Mehu, mayɛ ewie
Medaase mensa aka
Mepawokyɛw aane
Mepawokyɛw me nso medaase
Me credit aka sɛn
Akwadaa no to dwom
Fa to hɔ
Ma me bi
Saa ɔkɔdeɛ no
Mefri Ghana
Akwadaa wei
Hwan akonnwa
Woanyini kyɛn me
Deɛ edi kan
Meda wo ase
Mame bebree
Yɛ wɔ
Emu biara
Nsuo
ɛberɛ nni hɔ/ mmerɛ nni hɔ
Nnipa yɛ bad (informal) / Nnipa nnyɛ (formal)
Wɔn ti
Hwɛ soro
Bra ha
Me ho yɛ pa ara
Me ho yɛ paa
Efiri sɛ
Esian sɛ
Akwaaba
Sua adeɛ
Gye di
Tu amirika
Wo se sɛn
Wo ewie
Kosɛ, manhyɛ da
Kafra
Aane
Daabi
Wofiri he
Wote borɔfo
Woka borɔfo
Twerɛ ma me
Me nsa aka
Mayera
Wobɛtumi akyerɛ me hɔ
ɛkɔm de me
Merehwehwɛ Yaw
Boa me
Me hia wo mmoa
Nante yie
ɔkɔtɔ nnwo anomaa
Woforo dua pa a na yɛ pia wo
Nokware di etuo
Dadeɛ bi twa dadeɛ bi mu
Ebi didi ebi akyi
Tikorɔ nnkɔ agyina
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Twi Multispeaker Audio Transcribed Dataset

Overview

The Twi Multispeaker Audio Transcribed dataset is a collection of speech recordings and their transcriptions in Asante 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.

Dataset Details

  • Source: The dataset is derived from the Financial Inclusion Speech Dataset, which focuses on financial conversations in Asante Twi.
  • 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 Asante Twi.
  • Developing Twi language models and NLP applications.
  • Linguistic analysis of Asante Twi 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/twi_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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