App for Chord Sequence Detection
-
Updated
Apr 6, 2023 - Jupyter Notebook
App for Chord Sequence Detection
A Python tool for automatic detection of BPM (tempo) and musical key from audio files.
Full-stack music learning web app featuring interactive guitar/piano tools and AI-assisted audio analysis (chord detection + vocal/instrumental separation)
Dependency-free audio engine for C++, Python, Node.js & WASM: analysis, mastering, mixing, built-in instruments, and a headless-DAW runtime
🎹 App desktop gratuito para aprender piano — análise MIDI em tempo real, detecção de acordes, modo prática com feedback de timing. Free piano learning app built with Go + Svelte.
Local-first desktop app for musicians learning songs: stem separation, chord/key/tempo and lyrics transcription, pitch shift, retune, transpose/capo, export, tuner, metronome. No cloud, no account.
A modern and easy-to-use Android library for real-time guitar tuning and chord detection straight from the device microphone. It captures audio, analyzes the frequency spectrum, and returns the detected note or chord — all with a pure Kotlin DSP core and no third-party audio libraries. First-class Jetpack Compose support is included out of the box.
Music Slow Downer, Pitch Shifter, Stem Splitter, Key & Chord Detector, Bar/Beat Detector for Music Practice
Browser extension for practicing music along with any page audio or video: real-time pitch shift, speed control, loop ranges, timeline markers, chained practice snippets, vocal reducer, 10-band EQ and chord detection. Chrome MV3 side panel, built with WXT + Svelte 5.
A Rust port of the real-time chord recognition algorithm described in Adam Stark's PhD thesis. This library provides functionality for chromagram estimation and chord detection from audio input.
🎵 Interactive Camelot Wheel with real-time chord detection via microphone. Perfect for DJs and music theory enthusiasts.
TUI Polyphonic MIDI Synthesizer with Music Learning Tools
Audio Unit MIDI and audio chord-track plug-ins for Logic Pro
GPU-accelerated (CUDA) pipeline that turns piano audio — a YouTube link or a local file — into engraved sheet-music PDFs. Automatic transcription via Transkun (audio→MIDI), music21, and MuseScore, with data-driven key/modulation detection (Krumhansl-Kessler + Viterbi), per-section key signatures, chord symbols, and page-numbered A4 output.
A modern piano-learning and MIDI visualization desktop app for Windows — falling notes, interactive chord & scale explorers, real-time chord detection. From MIDI to mastery.
Deep music analysis from any YouTube URL — BPM, key, chords, Roman numerals, energy, dynamics, and LLM-written breakdown. Works on any language or genre.
An interactive browser-based tool for real-time chord detection, circle-of-fifths visualization, and music notation rendering.
Local-first automatic chord recognition, beat-synchronized transcription, and optional Demucs stem separation for MP3, MP4 and WebM.
An HCQT variant of BTC for musical chord recognition, plus a reproducible mir_eval benchmark. Honest result: it ties baseline BTC on held-out public data (GuitarSet, Schubert) — not better. Ships the model + weights, the benchmark harness, honest negative results, and a guide to extend the HCQT base to melody/bass/transcription.
Add a description, image, and links to the chord-detection topic page so that developers can more easily learn about it.
To associate your repository with the chord-detection topic, visit your repo's landing page and select "manage topics."