Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
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Updated
Oct 26, 2025 - Python
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
Audio processing by using pytorch 1D convolution network
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
This is official repository of our paper "RFUAV: A Benchmark Dataset for Unmanned Aerial Vehicle Detection and Identification". Codes include a two stage model to achieve drone detection and classification using some FFT/STFT analytical method. The Raw data will be free to use after our paper is accept. Star us!!!!, if you think this is useful♥
Easier audio-based machine learning with TensorFlow.
Spectrogram calculation for NumPy
Time stretching audio without changing pitch
Doppler radar signal processing tested with HB100 and RCWL0516 radar modules
CRED: A deep residual network of convolutional and recurrent units for earthquake signal detection
Short-time Fourier transform (STFT) for JAX
Sparse Time-Frequency representation (Sparse STFT, and Sparse Stockwell transfrom)
Perform three types of feature extraction: STFT, MFCC and MelSpectrogram. Apply CNN/VGG with or without RNN architecture. Able to achieve 95% accuracy.
Short-Time Fourier Transform (STFT) for MLX (Apple)
Spectral RNNs with adaptive window learning in TensorFlow, ICANN 2020.
Demucs wrapper for remixing audio files with additional customizations
A tool for getting xeno-canto bird calls and transforming them for use in TensorFlow
Removing beeping background sound from source by analysing the STFT spectrogram
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