> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/process-data/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/curator/_mcp/server.

# Process Data

## Docs

- [ASR Inference](https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/process-data/asr-inference.md): Perform automatic speech recognition using NeMo Framework models with GPU acceleration and batch processing
- [NeMo ASR Models](https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/process-data/asr-inference/nemo-models.md): Guide to using NeMo Framework's pretrained ASR models for speech recognition in audio curation pipelines
- [Quality Assessment for Audio Data](https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/process-data/quality-assessment.md): Assess and filter audio quality using transcription accuracy metrics, duration analysis, and custom quality measures
- [WER Filtering](https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/process-data/quality-assessment/wer-filtering.md): Filter audio samples based on Word Error Rate thresholds to ensure high-quality transcription accuracy
- [Duration Filtering](https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/process-data/quality-assessment/duration-filtering.md): Filter audio samples by duration ranges, speech rate metrics, and temporal characteristics for optimal dataset quality
- [Audio Analysis](https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/process-data/audio-analysis.md): Extract and analyze audio file characteristics including duration calculation, format validation, and metadata extraction
- [Duration Calculation](https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/process-data/audio-analysis/duration-calculation.md): Calculate precise audio duration using soundfile library for quality assessment and metadata generation
- [Audio Format Support](https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/process-data/audio-analysis/format-validation.md): Audio format support and error handling in NeMo Curator audio processing stages
- [Text Integration for Audio Data](https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/process-data/text-integration.md): Convert processed audio data to DocumentBatch format for downstream processing


> **Note:** This page contains both a page directory (above) and the landing page content (below). The page directory is generated for agent use and does not appear on the landing page.

> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/process-data/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/curator/_mcp/server.

# Process Data for Audio Curation

> Process audio data using ASR inference, quality assessment, audio analysis, and text integration for high-quality speech datasets

Process audio data you've loaded into `AudioBatch` objects using NeMo Curator's comprehensive audio processing capabilities.

NeMo Curator provides a specialized suite of tools for processing speech and audio data as part of the AI training pipeline. These tools help you transcribe, analyze, filter, and integrate audio datasets to ensure high-quality input for ASR model training and multimodal applications.

## How it Works

NeMo Curator's audio processing capabilities are organized into four main categories:

1. **ASR Inference**: Transcribe audio using NeMo Framework's pretrained ASR models
2. **Quality Assessment**: Calculate and filter based on transcription accuracy metrics
3. **Audio Analysis**: Extract audio characteristics like duration and validate formats
4. **Text Integration**: Convert processed audio data to text processing workflows

Each category provides GPU-accelerated implementations optimized for different speech curation needs. The result is a cleaned and filtered audio dataset with high-quality transcriptions ready for model training.

---

## ASR Inference

Transcribe audio files using NeMo Framework's state-of-the-art ASR models with GPU acceleration.

#### [NeMo ASR Models](/curate-audio/process-data/asr-inference/nemo-models)

Use pretrained NeMo ASR models for accurate speech recognition

#### [Batch Processing](/curate-audio/process-data/asr-inference)

Efficiently process large audio datasets with configurable batch sizes

## Quality Assessment

Evaluate and filter audio quality using transcription accuracy and audio characteristics.

#### [WER Filtering](/curate-audio/process-data/quality-assessment/wer-filtering)

Filter audio samples based on Word Error Rate thresholds

#### [Duration Filtering](/curate-audio/process-data/quality-assessment/duration-filtering)

Filter audio samples by duration ranges and speech rate metrics

## Audio Analysis

Extract and analyze audio file characteristics for quality control and metadata generation.

#### [Duration Calculation](/curate-audio/process-data/audio-analysis/duration-calculation)

Calculate precise audio duration using soundfile library

#### [Format Validation](/curate-audio/process-data/audio-analysis/format-validation)

Validate audio file formats and detect corrupted files

## Text Integration

Convert processed audio data to text processing workflows for multimodal applications.

#### [Audio-to-Text Conversion](/curate-audio/process-data/text-integration)

Convert AudioBatch objects to DocumentBatch for text processing