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Musically-Aware Humanoid Robots Human musicians make use of substantial auditory and visual information throughout a performance. Our humanoids research focuses on providing such capabilities (e.g., audio and visual beat detection, note onset and pitch detection, and basic control for musical keyboard performance), with the long-term goal of enabling a large humanoid to be an interactive participant in a live music ensemble. |
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Analysis-Synthesis of Guitar Expression During performance, a guitarist employs specific techniques in order to convey expressive intentions for a desired effect. These intentions often correspond to simultaneous variation of the source (guitarist-string interaction) and the filter (resonant string) parameters. We propose modeling expression at the signal level via joint estimation of the source and filter parameters of plucked guitar sounds in order to achieve realistic re-synthesis while incorporating expressive intentions. |
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ALF: Audio processing Library for Flash A research project dedicated to providing Flash developers with sophisticated signal processing routines for use in web-based MIR or game applications. We hope that this library encourages the growth of audio-centric Flash applications for research and entertainment. |
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iNotes: Orchestral Performance Companion We have developed a system that helps users by guiding them through the performance using a handheld application in real-time. Using audio features, we attempt to align the live performance audio with that of a previously annotated reference recording. The aligned position is transmitted to users’ handheld devices and pre-annotated inform-ation about the piece is displayed synchronously. |