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.
Learn about AudioBatch, ASR pipelines, and other core data structures for efficient audio curation
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.
Load audio files from local directories and file systems
Create and load custom audio dataset manifests with metadata
Load and process the multilingual FLEURS speech dataset
Process Data#
Transform and enhance your audio data through ASR inference, quality assessment, and analysis.
Generate transcriptions using NVIDIA NeMo ASR models
Assess transcription quality using WER and CER
Analyze audio characteristics including duration and format validation
Integrate audio processing results with text curation workflows
Save & Export#
Save processed audio data and transcriptions in formats suitable for downstream training and analysis.
Export curated audio datasets with transcriptions and quality metrics
Tutorials#
Build practical experience with step-by-step guides for common audio curation workflows.
Learn the basics of audio loading, ASR inference, and quality filtering