Products

GOST Music for Games Generation App

GOST (Game Original SoundTrack) is a deep neural network based tool for automatic generation of soundtracks with positive or negative sentiment. It has been built mainly for independent game developers. With GOST, your games will sound even better.

ScoreScribe - Audio-to-MIDI-to-Score App

ScoreScribe is a tool for automatic transcription of monophonic music from an audio file to machine-readable symbolic formats: MIDI, MusicXML, MEI, and ABC. Transcription results are presented graphically as piano roll and score – both with the edition option. Its target users are ethnomusicologists that transcribe field recordings for research and digital archivisation and all interested music lovers. Transcribe, edit, and share your music in professional way with ScoreScribe.

OMRAT –Optical Music Recognition Annotation App

OMRAT (Optical Music Recognition Annotation Tool) is intended for automatic annotation of sheet music documents. It is based on optical music recognition using deep neural networks combined with machine learning solutions. Annotated documents are saved in the MEI format and can be printed as sheet music documents and played back. The tool is mainly intended for music libraries to enable automatic score content extraction and indexing.

Timbra – Timbre Analysis, Visualization & Comparison App

Timbra (Timbre Analyzer) is a tool for calculating, visualizing and comparing timbre characteristics of audio objects. The tool is addressed to specialists interested in analyzing and evaluating sound timbre in various applications. Perfect for experimental and educational purposes.

MEIConvert – converts formats of symbolic music

MEIconvert performs batch conversion between music symbolic formats MusicXML, MEI, MIDI, ABC. Easy to use and effective.

MusicPUT is a result of the project "DARIAH-PL Digital Research Infrastructure for the Arts and Humanities" realized at the Institute of Computing Science, Poznan University of Technology, and is part of the Dariah.lab system of distributed laboratories. It uses advanced technologies to generate interpretable musical representations and enrich metadata. The system enables the analysis, visualization, and comparison of sound features, including transcription of melodies, annotation of the content of musical scores, and generation of music for computer games, opening new interdisciplinary research perspectives in musicology.
Made with 💖 using many technologies.
2025 — © Politechnika Poznańska - MusicPUT Team <dariah@cs.put.poznan.pl>