SincNet is a neural architecture for efficiently processing raw audio samples.

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

Functions and scripts for analyzing waveforms, primarily audio. This is currently somewhat disorganized and unfinished.

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

Capture and inspect multi-channel oscilloscope waveforms

Tensorflow - Very Deep Convolutional Neural Networks For Raw Waveforms - https://arxiv.org/pdf/1610.00087.pdf

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".

A python script to process raw ECG signals and impute the peaks and heartbeats following noise suppression to obtain processed ECG

Pytorch Reimplementation of DiffWave unconditional generation: a high quality waveform synthesizer.

Fetch seedlink data and store them into InfluxDB

blender addon - Display audio waveform in dopesheets, graph, timeline

Oscilloscope-like plotting of signals, showing waveform density instead of peak amplitude silhouettes

VCD visualizer: view your waveforms in ASCII format, or export them to TikZ figures.

A Python signal analysis toolbox for computing spectral-domain interactions using the bispectrum.

Block based synthesis and music library for Python

This script is written in python 3.x for interfacing the AD9833 with microcontrollers with micropython (specifically the PyBoard) over SPI.

Streamline your ecoacoustic analysis with LEAVES, offering advanced tools for large-scale soundscape annotation and visualization. Join researchers and citizen scientists using LEAVES to analyze complex soundscapes faster and more accurately.