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Drum controllers designed by researchers and commercial companies use a variety of techniques for capturing percussive gestures. It is challenging to obtain both quick response times and low-level data (such as position) that contain expressive information. This research is a comprehensive study of current methods to evaluate the available strategies and(More)
This paper discusses an evolution in North Indian instruments in the designing of technology to capture gestures from a performing artist. Modified traditional instruments use sensor technology and microcontrollers to digitize gestures, enabling a computer to analyze performance to synthesize sound and visual meaning. Specifically, systems were built to(More)
Hyper-instruments extend traditional acoustic instruments with sensing technologies that capture digitally subtle and sophisticated aspects of human performance. They leverage the long training and skills of performers while simultaneously providing rich possibilities for digital control. Many existing hyper-instruments suffer from being one of a kind(More)
The majority of existing research in Music Information Retrieval (MIR) has focused on either popular or classical music and frequently makes assumptions that do not generalize to other music cultures. We use the term Computational Ethnomusicology (CE) to describe the use of computer tools to assist the analysis and understanding of musics from around the(More)
The majority of existing research in Music Information Retrieval (MIR) has focused on either popular or classical music and frequently makes assumptions that do not generalize to other music cultures. We use the term Computational Eth-nomusicology (CE) to describe the use of computer tools to assist the analysis and understanding of musics from around the(More)