Professor/

masaaba-speech-data

A ~42.7-hour Masaaba (Lugisu/Lumasaaba) speech corpus, drawn from a single source (WAXAL) and filtered to only genuinely transcribed audio. Part of the AfroNet multi-language TTS data effort.

WAXAL (google/WaxalNLP), mas_asr config — crowdsourced, image-prompted speech collected via Makerere University's "Yogera" app (the same pipeline used for WAXAL's Lusoga data). 7,947 clips, 42.7h, source = waxal. A naming note: WAXAL's… See the full description on the dataset page: https://huggingface.co/datasets/Professor/masaaba-speech-data.