Use the tutorials in this section to learn audio curation with NeMo Curator.
Tutorials are organized by complexity and typically build on one another.
Run your first audio processing pipeline using the FLEURS dataset, including ASR inference and basic quality filtering. fleurs-dataset asr-inference wer-filtering
Curate training data for audio language models by extracting fixed-duration windows from diarized audio segments. alm windowing speaker-diarization