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> Comprehensive audio curation capabilities for speech data processing including ASR inference, quality assessment, and text integration workflows

# 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

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## Introduction

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

#### [Concepts](/about/concepts/audio)

Learn about AudioTask, ASR pipelines, and other core data structures for efficient audio curation
data-structures
asr-pipeline
quality-metrics

#### [Get Started](/get-started/audio)

Learn prerequisites, setup instructions, and initial configuration for audio curation
setup
configuration
quickstart

## Curation Tasks

### Load Data

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

#### [Local Files](/curate-audio/load-data/local-files)

Load audio files from local directories and file systems
local-storage
file-discovery
batch-processing

#### [Custom Manifests](/curate-audio/load-data/custom-manifests)

Create and load custom audio dataset manifests with metadata
manifests
metadata
custom-formats

#### [FLEURS Dataset](/curate-audio/load-data/fleurs-dataset)

Load and process the multilingual FLEURS speech dataset
fleurs
multilingual
benchmarks

### Process Data

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

#### [ASR Inference](/curate-audio/process-data/asr-inference)

Generate transcriptions using NVIDIA NeMo ASR models
nemo-models
transcription
gpu-accelerated

#### [Quality Assessment](/curate-audio/process-data/quality-assessment)

Assess transcription quality using WER and CER
wer-filtering
duration-filtering

#### [Audio Analysis](/curate-audio/process-data/audio-analysis)

Analyze audio characteristics including duration and format validation
duration-calculation
format-validation
metadata-extraction

#### [Text Integration](/curate-audio/process-data/text-integration)

Integrate audio processing results with text curation workflows
multimodal
text-filtering
pipeline-integration

### Save & Export

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

#### [Save & Export](/curate-audio/save-export)

Export curated audio datasets with transcriptions and quality metrics
manifests
parquet
metadata

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## Tutorials

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

#### [Beginner Tutorial](/curate-audio/tutorials/beginner)

Learn the basics of audio loading, ASR inference, and quality filtering
asr-inference
quality-filtering
basic-workflow

#### [Long-Form Audio Cutting](/curate-audio/tutorials/audio-pretrain)

Turn long-form diarized recordings into mono, resampled snippet archives and manifests for audio language model pretraining
alm-pretraining
long-form-audio
webdataset