Implementation of [Librosa](https://github.com/librosa/librosa) like [STFT](https://en.wikipedia.org/wiki/Short-time_Fourier_transform) using [FFTW](https://www.fftw.org/)
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Updated
May 30, 2024 - C
Implementation of [Librosa](https://github.com/librosa/librosa) like [STFT](https://en.wikipedia.org/wiki/Short-time_Fourier_transform) using [FFTW](https://www.fftw.org/)
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.
🎧 Piano-Perfect Audio Spectrogram. Unlock a hidden Absolute Pitch in you. Lightning fast, reliable, customizable.
A Python package for electrophysiology data conversion, preprocessing, and postprocessing
Audio Fingerprinting & Retrieval for .NET
Spectrum creation is the most important thing while dealing with audio data
Short-Time Fourier Transform (STFT) for MLX (Apple)
This is a personal project implementing Convolutional Neural Networks (CNNs) and Variational Autoencoder (VAE) for sound generations
YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
STFT based real-time pitch and timbre shifting in C++ and Python
Demucs wrapper for remixing audio files with additional customizations
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
Couple of scripts made in Python for audio watermarking and detection.
Official JUCE plugin for stftPitchShift
Audio Super Resolution model to decompress mp3 into wav file with recovered frequencies built on a "ResUNet" style architecture
computes the short-time fourier transform on streaming data. written in rust.
Zafar's Audio Functions in Julia for audio signal analysis: STFT, inverse STFT, CQT kernel, CQT spectrogram, CQT chromagram, MFCC, DCT, DST, MDCT, inverse MDCT.
Zafar's Audio Functions in Matlab for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT.
Zafar's Audio Functions in Python for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT.
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