2017 5th Intl Conf on Applied Computing and Information Technology/4th Intl Conf on Computational Science/Intelligence and Applied Informatics/2nd Intl Conf on Big Data, Cloud Computing, Data Science (ACIT-CSII-BCD)
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Abstract

Recent year, a music which is played in real time attracts attention as the diversifications of live production and karaoke box are proceeding. However, handicapped people cannot use conventional effectors people control by their feet. Thus I focused on vocal effector that change tone colors of voice signal from microphone. To people who cannot move their foot, this study is development of the device that detects how a person grip his/her microphone the using touch sensors that adapt four fingers except thumb and change its tone color of voice with its gripping patterns. this thesis includes the process of development of pre-amp, low-pass filter, and source codes written in micro computer.
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