Pre-processed dataset for training ARPAbet phoneme recognition models using CTC loss.
This dataset is derived from LibriSpeech (train-clean-100 split) with the following preprocessing:
Audio: Resampled to 16kHz, normalized using Wav2Vec2 feature extractor
Labels: Text transcriptions converted to ARPAbet phoneme sequences using CMU Pronouncing Dictionary
Filtering: Samples with out-of-vocabulary words (not in CMU… See the full description on the dataset page:
https://huggingface.co/datasets/davidggphy/librispeech-arpabet-processed.