About us
Our team, operating under the banner of the MusicPUT Team at the Institute of Computer Science, Poznan University of Technology, is a passionate and dedicated group. We are a diverse team of specialists with the goal of creating innovative solutions in the fields of music, computer science, and technology. Our team includes Ewa Łukasik, project leader and specialist in music systems, Tomasz Łukaszewski, a machine learning expert, and Magdalena Sroczan, responsible for User Experience. Our talented programmers, including Wojciech Kasperski, Marcin Pałasz, Filip Szymański, Stanisław Graczyk, Konrad Kubzdela, Zuzanna Piniarska, Mateusz Kałamoniak, Piotr Poznaniak, Martyna Sarnowska, and Anna Foltyniewicz, complete our team. Together, we create cutting-edge music systems and continually strive to enhance user experiences.
DARIAH-PL, the largest consortium of humanities in Poland, has built Dariah.lab, a distributed research infrastructure aimed at expanding the scope of research in arts and humanities, both in the scientific context and in the area of applications in the economy. It has been co-funded by the EU under the Smart Growth Operational Programme
Our products
Our products are innovative tools designed for music enthusiasts, sound engineers, musicologists, music librarians, musicians, luthiers, singers and educators - users who are not proficient in programming. Using them, you can unleash the full potential of your creativity. From generating music for games to audio-to-score transcription and sheet music annotation, our apps make your job easier and help you achieve the best results. Get to know our products and open up new research opportunities!
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.