Transcription System for Regional Accents in Angola Using Whisper and LLM

Authors

Mateus Padoca Calado, Universidade Agostinho Neto, Angola

Isabel José, Universidade Agostinho Neto, Angola

Lucilio Gomes, Universidade Agostinho Neto, Angola

Pedro Domingos, Universidade Agostinho Neto, Angola

Published in

IST-Africa 2026 Conference Proceedings

ISSN: 2576-8581

ISBN: 978-1-905824-76-2

DOI: https://doi.org/10.67725/IST-Africa.2026.HEEB1476

Publisher

IST-Africa Institute and IIMC International Information Management Corporation Ltd

Published in Ireland

Abstract

Over the years, speech recognition technology has evolved significantly. Many artificial intelligence models that have been developed do not take into account the nuances of a given language nor the context of the conversation. Specifically for the Portuguese language, the dataset used in the training process of several models is relatively small compared to other languages such as English, Spanish, etc. In this paper, we propose an automatic speech transcription solution for Portuguese spoken in Angola, which considers the different accent variations and the conversational context. For the development of this solution, we performed fine-tuning of the Whisper speech recognition model and used a large language model for transcription correction and context identification. The fine-tuning was carried out in Google Colab mainly due to its accessibility.

Keywords

Speech Recognition, Angolan Portuguese, Whisper Model, Fine-tuning, Low-Resource Languages

Cite this paper

M.P. Calado, I. José, L. Gomes and P. Domingos (2026) "Transcription System for Regional Accents in Angola Using Whisper and LLM", IST-Africa 2026 Conference Proceedings, Miriam Cunningham and Paul Cunningham (Eds), IST-Africa Institute and IIMC, 2026, ISSN: 2576-8581, ISBN: 978-1-905824-76-2, https://doi.org/10.67725/IST-Africa.2026.HEEB1476

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