Professor/

lusoga-speech-data

A ~39.0-hour Lusoga 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), sog_asr config — crowdsourced, image-prompted speech collected via Makerere University's "Yogera" app (the same pipeline used for WAXAL's Masaaba data). 6,723 clips, 39.0h, source = waxal. train+validation+test splits are pooled… See the full description on the dataset page: https://huggingface.co/datasets/Professor/lusoga-speech-data.