audiomentations
A Python library for audio data augmentation to improve the robustness of audio machine learning models.
What is audiomentations?
Audiomentations is a Python library for audio data augmentation that applies various audio transformations to training data. It helps improve the robustness and generalization of audio machine learning models by simulating real-world audio conditions like noise, pitch variations, and room acoustics.
Machine learning engineers and researchers working on audio deep learning projects, particularly those using TensorFlow/Keras or PyTorch who need to enhance their model's real-world performance.
Developers choose Audiomentations for its comprehensive set of realistic audio transformations, CPU-optimized performance, and easy integration with popular ML frameworks. Its Albumentations-inspired API makes it familiar and straightforward to use for those experienced with image augmentation libraries.
Overview
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
Use Cases
Best For
- Improving robustness of speech recognition models
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