> 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/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/curator/_mcp/server. # Curate Audio ## Docs - [Audio Curation Tutorials](https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/tutorials.md): Collection of tutorials for audio curation workflows including beginner guides and advanced quality assessment techniques - [Beginner Audio Processing Tutorial](https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/tutorials/beginner.md): Beginner tutorial for audio processing using the FLEURS dataset - [Load Audio Data](https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/load-data.md): Load audio datasets from various sources including FLEURS, custom manifests, and local files - [Create and Load Custom Audio Manifests](https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/load-data/custom-manifests.md): Create and load custom audio manifests in JSONL format for NeMo Curator audio processing - [Load FLEURS Dataset](https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/load-data/fleurs-dataset.md): Load and process the multilingual FLEURS speech dataset with automated download and manifest creation - [Load Local Audio Files](https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/load-data/local-files.md): Load audio files from local directories by creating custom manifests - [Process Data for Audio Curation](https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/process-data.md): Process audio data using ASR inference, quality assessment, audio analysis, and text integration for high-quality speech datasets - [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 - [Save & Export Audio Data](https://docs.nvidia.com/nemo/curator/v25.09/curate-audio/save-export.md): Export processed audio data and transcriptions in formats optimized for ASR training and multimodal applications > **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/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/nemo/curator/_mcp/server. # About Audio Curation > Comprehensive audio curation capabilities for speech data processing including ASR inference, quality assessment, and text integration workflows 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. #### [Concepts](/about/concepts/audio) Learn about AudioBatch, ASR pipelines, and other core data structures for efficient audio curation #### [Get Started](/get-started/audio) Learn prerequisites, setup instructions, and initial configuration for audio curation ## 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 #### [Custom Manifests](/curate-audio/load-data/custom-manifests) Create and load custom audio dataset manifests with metadata #### [FLEURS Dataset](/curate-audio/load-data/fleurs-dataset) Load and process the multilingual FLEURS speech dataset ### Process Data Transform and enhance your audio data through ASR inference, quality assessment, and analysis. #### [ASR Pipeline](/about/concepts/audio/asr-pipeline) Generate transcriptions using NVIDIA NeMo ASR models #### [Quality Metrics](/about/concepts/audio/quality-metrics) Assess transcription quality using WER and CER #### [Text Integration](/about/concepts/audio/text-integration) Integrate audio processing results with text curation workflows ### 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 --- ## 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