Aurally Sound – Prism v1.1.01 for WiN

Prism is a next-generation audio MIDI engine designed for producers, musicians, and transcribers who value precision and detail.

Powered by advanced machine learning, Prism converts audio into pure MIDI with exceptional note recognition , capturing chords and melodies from individual notes—with high resolution in time and dynamics. Prism opens the door to deep musical analysis and creative exploration.

Peculiarities

Designed for solo instruments

Prism can convert most instruments: acoustic guitar, clean guitar, slightly distorted guitar, bass guitar, piano, saxophone, brass instruments, violin, and more.

Monophonic and polyphonic accuracy

Unrivaled conversion of single- and multi-note instrumental audio files. Prism easily and accurately deconstructs dense jazz piano/guitar, acoustic guitar solos, single violin notes, bass solos, and more.

Fast tracking of passages

From slow to fast passages, Prism handles it all. Other audio-to-MIDI converters struggle with fast passages. Prism’s unique algorithms can recognize and transcribe these passages.

Seamless workflow

The ARA plugin provides an efficient workflow. There’s no need to wait for audio to be captured.

Several algorithms

The “General” algorithm is the basic one and is applicable to most instruments. However, we wanted to achieve maximum performance, so we created an algorithm specifically for solo acoustic piano and another for distorted guitars.

Built-in full-featured MIDI editor

Yes, we understand that your DAW already has a great MIDI editor, but the built-in editor allows you to tweak the algorithm and see the results without having to repeatedly drag and drop audio into your DAW.

Built-in piano playback

Yes, we understand that your DAW has much better tools than the simple piano sampler we’ve included in Prism, but it has the same benefits as a MIDI editor.

Viewing the spectrogram

Viewing the spectrogram provides a more detailed view than MIDI notes and can be useful for identifying guitar bends, vibrato, etc.

Advanced technologies

We’ve invested a lot of time and effort into developing our own algorithms to achieve results we’re happy with. We hope you find our efforts helpful.