BeitTigreAI/tigre-hubert-candidate-phones

Draft Candidate Phone Inventory for Tigre — Reviewer Guide What this is An automatically-derived candidate sound-unit inventory for Tigre, built from a self-supervised HuBERT model trained on Tigre audio (Common Voice), with sounds grouped by unsupervised clustering (k-means) rather than linguistic analysis. Two granularities are provided: candidate_phones_fine.csv — 100 fine-grained clusters. These likely include allophones (positional/contextual variants of the… See the full description on the dataset page: https://huggingface.co/datasets/BeitTigreAI/tigre-hubert-candidate-phones.