---
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