ASR pipelines extend text resources for low-resource West African languages Fongbe and Hausa. Fine-tuning MMS-300M on Fongbe achieves 9.48% WER with preserved tonal diacritics, while Hausa transcriptions reach 57.4/100 human evaluation score; Fongbe segments score only 36.5/100, indicating need for post-processing or improved models. The study releases curated datasets, fine-tuned models, and transcribed corpora under ethical guidelines.