Audio-based machine fault recognition with a lightweight PyTorch CNN using PCEN log-mel features, section-aware splits, and Dockerized inference
Interactive waveform + spectrogram audio player for analysis, annotation, and embeddable previews (Web, Streamlit, Gradio)
PyTorch implementation of frontend, like PCEN (per-channel energy normalization) and Mel-Filterbank (mel-filterbank).
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