Showing 8 of 8 projects
A Python library for music and audio analysis, providing tools for feature extraction, visualization, and transformation.
A deep learning library for audio and music analysis, providing time-frequency transforms and feature extraction for tasks like classification and MIR.
An audio processing toolbox using PyTorch 1D convolutional neural networks for on-the-fly spectrogram generation with trainable kernels.
GPU-accelerated audio preprocessing layers for Keras/TensorFlow, enabling real-time audio feature extraction within neural networks.
A Julia package providing digital signal processing routines including filter design, periodograms, window functions, and estimation.
A Python toolkit for generating gammatone-based spectrograms using perceptual models of human hearing.
A fast, professional audio metering and visualization application for Linux, built with Rust and PipeWire.
A signal processing toolbox for Torch 7 providing Fourier transforms, spectrograms, and other signal analysis functions.
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