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
Nov 9, 2024 - 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.
YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
Audio processing by using pytorch 1D convolution network
Signal processing method and algorithm library
Audio Fingerprinting & Retrieval for .NET
Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.
Real time monaural source separation base on fully convolutional neural network operates on Time-frequency domain.
STFT based real-time pitch and timbre shifting in C++ and Python
Spectrogram calculation for NumPy
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.
C library for audio noise reduction and other spectral effects
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.
Noise-level estimation using minima controlled recursive averaging approach and denoising using Stein's unbiased risk estimates in STFT domain.
Speech Denoising using RNNs in Tensorflow
Visualization of Audio Spectrogram with Short-Time Fourier Transform (STFT)
CRED: A deep residual network of convolutional and recurrent units for earthquake signal detection
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