bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Convert voice notes, humming, and melodic audio recordings to quantized MIDI files using ML-based pitch detection and intelligent post-processing
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install danbennettuk/voice-note-to-midiExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
Transform your voice memos, humming, and melodic recordings into clean, quantized MIDI files ready for your DAW.
This skill provides a complete audio-to-MIDI conversion pipeline that:
Audio Input (WAV/M4A/MP3)
↓
┌─────────────────────────────────────┐
│ Step 1: Stem Separation (HPSS) │
│ - Isolate harmonic content │
│ - Remove drums/percussion │
│ - Noise gating │
└─────────────────────────────────────┘
↓
┌─────────────────────────────────────┐
│ Step 2: Pitch Detection │
│ - Basic Pitch ML model (Spotify) │
│ - Polyphonic note detection │
│ - Onset/offset estimation │
└─────────────────────────────────────┘
↓
┌─────────────────────────────────────┐
│ Step 3: Analysis │
│ - Pitch class distribution │
│ - Key detection │
│ - Dominant note identification │
└─────────────────────────────────────┘
↓
┌─────────────────────────────────────┐
│ Step 4: Quantization & Cleanup │
│ - Timing grid snap │
│ - Key-aware pitch correction │
│ - Octave pruning (harmonic removal) │
│ - Overlap-based pruning │
│ - Note merging (legato) │
│ - Velocity normalization │
└────────────────────────────────...
Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
Convert voice memos, humming, and melodic recordings to clean, quantized MIDI files.
Transform your 3 AM melody ideas into MIDI notes for your DAW — no keyboard required.
Voice Note (WAV/M4A/MP3)
↓
┌─────────────────────────────────────┐
│ 1. Stem Separation (HPSS) │
│ Isolate melody from noise │
└─────────────────────────────────────┘
↓
┌─────────────────────────────────────┐
│ 2. Basic Pitch ML (Spotify) │
│ Detect fundamental frequencies │
└─────────────────────────────────────┘
↓
┌─────────────────────────────────────┐
│ 3. Key Detection │
│ Identify musical key │
└─────────────────────────────────────┘
↓
┌─────────────────────────────────────┐
│ 4. Quantization & Cleanup │
│ • Snap to timing grid │
│ • Key-aware pitch correction │
│ • Harmonic pruning (octave/overlap)│
│ • Note merging (legato) │
└─────────────────────────────────────┘
↓
MIDI File → Your DAW
git clone https://github.com/DanBennettUK/voice-note-to-midi.git
cd voice-note-to-midi
./setup.sh
Then convert a voice memo:
hum2midi my_humming.wav # Creates my_humming.mid
hum2midi voice.wav song.mid # Custom output name
hum2midi hum.wav --key-aware # Auto-detect key & quantize
hum2midi <input.wav> [output.mid] [options]
Options:
--grid <value> Qu...
# 🎵 Voice Note to MIDI
Transform your voice memos, humming, and melodic recordings into clean, quantized MIDI files ready for your DAW.
## What It Does
This skill provides a complete audio-to-MIDI conversion pipeline that:
1. **Stem Separation** - Uses HPSS (Harmonic-Percussive Source Separation) to isolate melodic content from drums, noise, and background sounds
2. **ML-Powered Pitch Detection** - Leverages Spotify's Basic Pitch model for accurate fundamental frequency extraction
3. **Key Detection** - Automatically detects the musical key of your recording using Krumhansl-Kessler key profiles
4. **Intelligent Quantization** - Snaps notes to a configurable timing grid with optional key-aware pitch correction
5. **Post-Processing** - Applies octave pruning, overlap-based harmonic removal, and legato note merging for clean output
### Pipeline Architecture
```
Audio Input (WAV/M4A/MP3)
↓
┌─────────────────────────────────────┐
│ Step 1: Stem Separation (HPSS) │
│ - Isolate harmonic content │
│ - Remove drums/percussion │
│ - Noise gating │
└─────────────────────────────────────┘
↓
┌─────────────────────────────────────┐
│ Step 2: Pitch Detection │
│ - Basic Pitch ML model (Spotify) │
│ - Polyphonic note detection │
│ - Onset/offset estimation │
└─────────────────────────────────────┘
↓
┌─────────────────────────────────────┐
│ Step 3: Analysis │
│ - Pitch class distribution │
│ - Key detection │
│ - Dominant note identification │
└─────────────────────────────────────┘
↓
┌─────────────────────────────────────┐
│ Step 4: Quantization & Cleanup │
│ - Timing grid snap │
│ - Key-aware pitch correction │
│ - Octave pruning (harmonic removal) │
│ - Overlap-based pruning │
│ - Note merging (legato) │
│ - Velocity normalization │
└────────────────────────────────...# 🎵 Voice Note to MIDI
Convert voice memos, humming, and melodic recordings to clean, quantized MIDI files.
[](https://opensource.org/licenses/MIT)
Transform your 3 AM melody ideas into MIDI notes for your DAW — no keyboard required.
## What It Does
```
Voice Note (WAV/M4A/MP3)
↓
┌─────────────────────────────────────┐
│ 1. Stem Separation (HPSS) │
│ Isolate melody from noise │
└─────────────────────────────────────┘
↓
┌─────────────────────────────────────┐
│ 2. Basic Pitch ML (Spotify) │
│ Detect fundamental frequencies │
└─────────────────────────────────────┘
↓
┌─────────────────────────────────────┐
│ 3. Key Detection │
│ Identify musical key │
└─────────────────────────────────────┘
↓
┌─────────────────────────────────────┐
│ 4. Quantization & Cleanup │
│ • Snap to timing grid │
│ • Key-aware pitch correction │
│ • Harmonic pruning (octave/overlap)│
│ • Note merging (legato) │
└─────────────────────────────────────┘
↓
MIDI File → Your DAW
```
## Quick Start
```bash
git clone https://github.com/DanBennettUK/voice-note-to-midi.git
cd voice-note-to-midi
./setup.sh
```
Then convert a voice memo:
```bash
hum2midi my_humming.wav # Creates my_humming.mid
hum2midi voice.wav song.mid # Custom output name
hum2midi hum.wav --key-aware # Auto-detect key & quantize
```
## Features
- **ML-Powered Pitch Detection** — Spotify's Basic Pitch model
- **Key Detection** — Automatic musical key identification
- **Key-Aware Quantization** — Snap notes to detected scale
- **Harmonic Pruning** — Remove overtones, keep fundamentals
- **Legato Merging** — Combine note chunks into sustained tones
- **Configurable Grid** — 1/4, 1/8, 1/16, or 1/32 note quantization
## Usage
```bash
hum2midi <input.wav> [output.mid] [options]
Options:
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