ivrit-ai/eval-forced-alignment

Hebrew Forced Alignment Evaluation Dataset Human-verified, word-level time-aligned Hebrew speech clips. To create this dataset, a dedicated labeling system (similar to Praat, but web-based) was built. The system lets labelers fix the transcript and align each spoken word to the audio, down to 1ms precision (though annotators typically work at ~10ms granularity). The audio samples were gathered by randomly sampling from several of ivrit-ai's larger, published open datasets. The… See the full description on the dataset page: https://huggingface.co/datasets/ivrit-ai/eval-forced-alignment.