---
description: "Comprehensive audio curation capabilities for speech data processing including ASR inference, quality assessment, and text integration workflows"
categories: ["workflows"]
tags: ["audio-curation", "asr-inference", "speech-processing", "quality-metrics", "manifests", "text-integration"]
personas: ["data-scientist-focused", "mle-focused"]
difficulty: "beginner"
content_type: "workflow"
modality: "audio-only"
---

# About Audio Curation

NeMo Curator provides comprehensive audio curation capabilities to prepare high-quality speech data for automatic speech recognition (ASR) and multi-modal model training. The toolkit includes processors for loading audio datasets, performing ASR inference, assessing transcription quality, and integrating with text curation workflows.

## Use Cases

- Process and curate large-scale speech datasets for ASR model training
- Perform quality assessment and filtering based on transcription accuracy metrics
- Generate transcriptions using state-of-the-art NVIDIA NeMo ASR models
- Integrate audio processing with text curation pipelines for multi-modal workflows
- Scale audio processing across GPU clusters efficiently

---

## Introduction

Master the fundamentals of NeMo Curator and set up your audio processing environment.

<Cards>

<Card title="Concepts" href="/about/concepts/audio">
Learn about AudioTask, ASR pipelines, and other core data structures for efficient audio curation
data-structures
asr-pipeline
quality-metrics
</Card>

<Card title="Get Started" href="/get-started/audio">
Learn prerequisites, setup instructions, and initial configuration for audio curation
setup
configuration
quickstart
</Card>

</Cards>

## Curation Tasks

### Load Data

Import your audio data from various sources into NeMo Curator's processing pipeline.

<Cards>

<Card title="Local Files" href="/curate-audio/load-data/local-files">
Load audio files from local directories and file systems
local-storage
file-discovery
batch-processing
</Card>

<Card title="Custom Manifests" href="/curate-audio/load-data/custom-manifests">
Create and load custom audio dataset manifests with metadata
manifests
metadata
custom-formats
</Card>

<Card title="FLEURS Dataset" href="/curate-audio/load-data/fleurs-dataset">
Load and process the multilingual FLEURS speech dataset
fleurs
multilingual
benchmarks
</Card>

</Cards>

### Process Data

Transform and enhance your audio data through ASR inference, quality assessment, and analysis.

<Cards>

<Card title="ASR Inference" href="/curate-audio/process-data/asr-inference">
Generate transcriptions using NVIDIA NeMo ASR models
nemo-models
transcription
gpu-accelerated
</Card>

<Card title="Quality Assessment" href="/curate-audio/process-data/quality-assessment">
Assess transcription quality using WER and CER
wer-filtering
duration-filtering
</Card>

<Card title="Audio Analysis" href="/curate-audio/process-data/audio-analysis">
Analyze audio characteristics including duration and format validation
duration-calculation
format-validation
metadata-extraction
</Card>

<Card title="Text Integration" href="/curate-audio/process-data/text-integration">
Integrate audio processing results with text curation workflows
multimodal
text-filtering
pipeline-integration
</Card>

</Cards>

### Save & Export

Save processed audio data and transcriptions in formats suitable for downstream training and analysis.

<Cards>

<Card title="Save & Export" href="/curate-audio/save-export">
Export curated audio datasets with transcriptions and quality metrics
manifests
parquet
metadata
</Card>

</Cards>

---

## Tutorials

Build practical experience with step-by-step guides for common audio curation workflows.

<Cards>

<Card title="Beginner Tutorial" href="/curate-audio/tutorials/beginner">
Learn the basics of audio loading, ASR inference, and quality filtering
asr-inference
quality-filtering
basic-workflow
</Card>

</Cards>
