#Wav
Showing 18 of 18 repositories tagged #wav, ranked by stars
Audio playback and capture library written in C, in a single source file.
Pure TypeScript media toolkit for reading, writing, and converting video and audio files, directly in the browser.
Pure Rust multimedia format demuxing, tag reading, and audio decoding library
It is a simple python package to play videos in the terminal using characters as pixels
ESP32 Camera motion capture application to record JPEGs to SD card as AVI files and stream to browser as MJPEG. If a microphone is installed then a WAV file is also created. Files can be uploaded via FTP or downloaded to browser.
Python library for reading audio file metadata
Least Significant Bit Steganography for bitmap images (.bmp and .png), WAV sound files, and byte sequences. Simple LSB Steganalysis (LSB extraction) for bitmap images.
Encode an image to sound and view it as a spectrogram - turn your images into music
A command-line tool to play songs (or any audio, really) in the terminal.
A desktop visualization GUI for the ODAS library
A set of scripts implementing popular reverberation audio effect algorithms.
A Python CLI tool that performs lossy removal of metadata from MP3 and WAV audio files.
Toy audio synthesizer library in Rust with basic MIDI support.
TUI/Terminal interactive music player
golang .wav reader and writer
We'll look into audio categorization using deep learning principles like Artificial Neural Networks (ANN), 1D Convolutional Neural Networks (CNN1D), and CNN2D in this repository. We undertake some basic data preprocessing and feature extraction on audio sources before developing models. As a result, the accuracy, training time, and prediction time of each model are compared. This is explained by model deployment, which allows users to load the desired sound output for each model that is successfully deployed, as will be addressed in more depth later.
WAV to MMV converter. You can then use the MMV file in input of MSSTV to decode Slow Scan Television (SSTV) sound signals.
Create .wav audio samples with text-to-sound generative AI