--- description: "Collection of tutorials for audio curation workflows including beginner guides and advanced quality assessment techniques" categories: ["audio-curation"] tags: ["tutorial", "audio-processing", "asr-inference", "quality-assessment", "fleurs-dataset"] personas: ["mle-focused", "data-scientist-focused"] difficulty: "beginner" content_type: "tutorial" modality: "audio-only" --- # Audio Curation Tutorials 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