philgzl/libri

LibriSpeech: An ASR corpus based on public domain audio books This is a mirror of the LibriSpeech ASR corpus. The original files were converted from FLAC to Opus to reduce the size and accelerate streaming. The transcripts are not included. This mirror is thus best suited for audio-to-audio tasks. Sampling rate: 16 kHz Channels: 1 Format: Opus Splits: Train: 460 hours, 132553 utterances, train-clean-100 and train-clean-360 sets. Validation: 7 hours, 2703 utterances, dev-clean… See the full description on the dataset page: https://huggingface.co/datasets/philgzl/libri.