Audio-to-MIDI transcription

Instantly convert acoustic audio (MP3, WAV) into editable MIDI data: pitch, timing, and velocity captured for instruments like piano and guitar via deep learning.

Audio-to-MIDI transcription converts raw acoustic signals (WAV, MP3) into the Musical Instrument Digital Interface (MIDI) format. This is accomplished using advanced machine learning models: specifically, convolutional neural networks (CNNs) and bidirectional LSTMs. The system analyzes the audio's spectral content to extract core musical parameters: pitch, onset/offset timing, and note velocity. High-accuracy systems, like those trained on Google's Project Magenta, achieve F1 scores near 0.9 for monophonic and simple polyphonic material. This capability eliminates hours of manual transcription, allowing producers to instantly convert a vocal melody or a complex piano chord progression into an editable, discrete data set for use in any Digital Audio Workstation (DAW).

https://www.samplab.com/audio-to-midi