This is a preprocessed librilight dataset with ASR using Whisper Large model and then aligned with montreal forced aligner.
Warning
This attempt of building a good large aligned dataset failed due to too low quality of whisper ASR for such task. Use libriheavy instead.
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