Curate AudioTutorialsAudio Curation TutorialsAsk a question|Copy page|View as Markdown|More actionsUse the tutorials in this section to learn audio curation with NeMo Curator. Tutorials are organized by complexity and typically build on one another. Beginner TutorialRun your first audio processing pipeline using the FLEURS dataset, including ASR inference and basic quality filtering. fleurs-dataset asr-inference wer-filteringALM TutorialCurate training data for audio language models by extracting fixed-duration windows from diarized audio segments. alm windowing speaker-diarizationLong-Form Audio CuttingExtract bounded mono and resampled snippets from long-form diarized audio, then package them as a training manifest and WebDataset-compatible tar. alm-pretraining snippet-extraction webdataset
