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Convert voice notes, humming, and melodic audio recordings to quantized MIDI files using ML-based pitch detection and intelligent post-processing
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install danbennettuk/voice-note-to-midi打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
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 │
└────────────────────────────────...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
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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