A comprehensive online platform revolutionizing the learning experience, seamlessly recording lectures, generating accurate transcripts, delivering concise summaries, and offering personalized writing assistance tailored to individual needs.

Vanillia Javascript Client-side application enabling to upload an MP3 file, change it's pitch, play the newer version and export it, if good enough, to a WAV file format.

literally benchmarking dejpeg'ifying and rejpeg'ing 3 minute waveforms to get loaded onto an engine originally built for impossible skating to appealing to plastic guitar toys, but askchually, its because of a stupid limitation within the software used by said engine that we must be confined to, resulting in the most inefficient and hacky solutions

Libraries to provide tools for different kind of media files

Performant LavaLink alternative written with Node.Js

Live coding and synthesis with NodeJS and a browser

PodKast is a sophisticated social media platform designed exclusively for podcast enthusiasts. It offers a seamless user experience for discovering, sharing, and engaging with your favorite podcasts and connecting with fellow enthusiasts.

Process Audio Files With Gemini Api In Javascript

PixiJS audio reactive particles.

This is basic implementation of an interactive birthday cake

An application that assists the user in breaking down an audio file and its accompanying transcript into smaller pairs, especially for use in creating SRS cards for language learning.

Nirvana is a music identifier extension designed to help users quickly identify songs playing in the browser.

This project uses system output to generate color and have change your wiz led according to music.

Visualize the frequencies of Marvin Gaye's 'I Heard It Through the Grapevine' using p5.js and p5.sound.js (and a little bit of html)

A Web and Native UI for ffmpeg-wasm: convert video, audio and images using the power of ffmpeg, directly from your web browser or from your computer.

This repository contains all the codes that I have written to train several Neural Network models with my custome dataset. I have collected several accents of Bangla language from various sources and online platforms. I used that data to fit my models. The result are in the notebooks of model-testing branch. I have also done some analysis on data.

the first audiobook make with js . With 10 chapters. You can play , pause and go trought into chapters

zenithbars : audioform wave visualizer

Open source audio annotation tool for humans