Realtime audio analysis in Python to extract audio features from streaming audio and send them over OSC to any client app.
Fast and simple music and audio analysis using RNN in Python 🕵️♀️ 🥁
Package for automatic beat-mixing of music files in Python 🐻🎚
Real-time detection of beats from audio, sending out OSC signals for sound-to-light control 🎵💡
This repository contains the implementation of an efficient joint beat, downbeat, tempo, and meter tracking system using a compact 1D probabilistic state space and a jump-back reward technique. ICASSP 2022.
Simply sending the detected BPM to Resolume or any other LJ / VJ Software via OSC commands.
An SDK to develop effects for Nanoleaf Light Panels using features like frequency, beat, or tempo.
Makes simple music videos to a chosen song by cutting up a video to match the rhythm.
An SDK to develop effects for Nanoleaf Light Panels using features like frequency, beat, or tempo.
Fast and sample-accurate R-peak detectors based on Visisbility Graphs
An SDK to develop effects for Nanoleaf Light Panels using features like frequency, beat, or tempo.
An AI-powered music mixing platform that seamlessly blends songs based on sound characteristics, offering a unique and innovative approach to music composition and remixing. Designed to work with artificial intelligence for intuitive, harmonious music creation.
Beat Tracking and Visualization
Python OpenDMX stage light control
BeatSync Engine is a portable AI video editor that automatically creates beat-synced AMV, GMV, and music videos from your audio and source clips.
Python scripts for altering music files with beat detection. Reverse beats, turn song into swing, etc.
A fast beat detection algorithm in Python.
A basic beat and onset detection script to generate timestamps and .edl marker files for use with Davinci Resolve, Adobe Premiere Pro, etc.
Python script for detecting beats in audio files and generating timeline guides for Kdenlive, supporting single or batch processing with customizable settings.
Add a description, image, and links to the beat-detection topic page so that developers can more easily learn about it.
To associate your repository with the beat-detection topic, visit your repo's landing page and select "manage topics."