python_audio_loading_benchmark
This project evaluates the speed and format support of audio I/O performance across Python libraries, essential for real-time machine learning models. It benchmarks libraries such as scipy, librosa, and torchaudio on their efficiency at loading audio into Numpy, PyTorch, and TensorFlow tensors. The results highlight the quickest options for various output types. The framework also facilitates the generation of sample audio data and the setup of testing environments using Docker or virtual setups for simplified replication and contribution.
