Tezin Türü: Doktora
Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü, Türkiye
Tezin Onay Tarihi: 2013
Öğrenci: KUBİLAY AYDIN
Danışman: AYDAN MÜŞERREF ERKMEN
Özet:In this thesis we introduce the robotic device ROMI together with its control architecture, the musical state representation and focus on parameter estimation for imitation of duo players by ROMI. ROMI is aimed at jointly playing two instruments that belong to two different classes and improvises while assisting others in an orchestral performance. A new improvisation algorithm based on parameter estimation process for the imitation control is introduced. This new improvisation algorithm adds the capability of velocity control and polyphonic music processing on top of existing improvisation algorithms. The musical state representation we have developed for controlling ROMI is a feature extractor for learning to imitate human players in a duet. ROMI’s intelligent control architecture also has the ability to provide sample owners’ identification and performance training.