This is a preprocessed librilight dataset with ASR using Whisper Large model and then aligned with montreal forced aligner.
Structure is similar to original dataset. Each file is represented in three formats: .flac with audio, .txt with text, .TextGrid with alignment. Top level folders are speakers, next one is a session and then the files split into up to 30 seconds with rougtly 15 seconds on average.
This dataset can easily be downloaded using my datasets tool using identifiers: librilight-processed, librilight-processed@medium and librilight-processed@large.
Or it can be downloaded directly from my server.
To reproduce the dataset you need to execute the following steps:
datasets sync # Download source datasets (depends on your network)
./prepare_cut.sh # Cut the audio files (fast)
./prepare_transcribe.sh # Transcribe the audio files using Whisper, this could take days and GPUs are needed
./prepare_align.sh # Align the transcribed files using montreal forced aligner, this could take days
./prepare_final.sh # Prepare the final datasetsMIT