NeuralNote is an open-source audio software tool designed to convert recorded audio into MIDI data using modern machine learning techniques. The software functions as an audio plugin that can be used inside digital audio workstations as well as a standalone application for music production and analysis. Its main purpose is to perform audio-to-MIDI transcription, allowing musicians to record a performance and automatically transform it into editable MIDI notes. NeuralNote supports polyphonic transcription, meaning it can detect multiple notes played simultaneously, making it useful for instruments such as piano or guitar. The system relies on neural network models to analyze audio signals and infer pitch, timing, and other musical attributes that can be represented as MIDI data. The resulting MIDI output can be edited, quantized, or exported to other instruments within a music production workflow.
Features
- Audio-to-MIDI transcription using deep learning models
- Support for polyphonic transcription across multiple instruments
- Real-time parameter adjustments during transcription playback
- Compatibility with major DAWs through VST3 and AU plugin formats
- Ability to quantize and scale detected notes within the plugin
- Support for common audio file formats such as WAV, FLAC, MP3, and AIFF