README.md

MP3 to MIDI Converter AI [PROOF OF CONCEPT!]

This garbage uses a Convolutional Recurrent Neural Network (CRNN) to transcribe music from MP3 audio files into MIDI format.

Could be good, could be bad. Who knows? I don't have enough data to train it, god damn it!!

Testing model was trained on soundtracks from Touhou 3 and 4 and their MIDIs made by Blargzargo. This is just a PoC!

Model was trained with augmentation enabled on 37 pairs MP3-MIDI. 75 epochs, batch of 32, with warmup. Current settings in train.py, read it yourself.

Final avg loss at 0.0047. Looks stupidly ovberfitted, eh??

Weights: https://huggingface.co/KazamiYuuka/qad-mp3-2-midi-ai

Test midis:

0415.mid - WAS in dataset for training. Threshold - 0.5, min duration - 0.01.

0518.mid - was NOT in dataset. Threshold - 0.9, min duration - 0.1.

How it Works

1. Preprocessing (preprocess.py): Audio files are converted into mel spectrograms, which are visual representations of the sound. These are saved as data chunks for training. Data augmentation (time stretching, pitch shifting) is used to create a larger, more robust dataset.
2. Training (train.py): The ResCRNN_v0.11 model learns to map the spectrogram chunks to MIDI notes. The trained model is saved as audio_to_midi_v0.11.pth.
3. Conversion (convert_v0.11.py): The trained model analyzes a new MP3 file and predicts the MIDI notes, generating a .mid file.

How to Use

1. Add Data:

   • Place your MP3 files in the /input folder.
   • Place the corresponding ground-truth MIDI files in the /output folder.

2. Preprocess Data:

   python preprocess.py

3. Train the Model:

   python train.py

4. Convert an MP3 to MIDI:

   python convert_v0.11.py "path/to/your/song.mp3"