基於腦波訊號之演奏輔助介面設計與實作

Abstract

本論文以建構一套基於演奏者之腦波與演奏樂曲間互動之演奏輔助介面為目的，並根據演奏者之腦波型態，以互動方式演繹樂曲並產生不同之演奏效果。一般演奏曲目除卻音符、力度等因素外，更包含了許多難以傳統記譜方式表顯之細膩聲響，如空間殘響、 效果延遲……等。在電腦普及的時代中，現代音樂作品之張力及織度早已與古典配器所能製造出的聲響大相徑庭，自磁帶發明後，處理聲音的方式不再僅止於播放及暫停，而是藉由反轉、拼貼、剪接等模式不斷發展出超乎現實及預期之聲響。而目前以各種感應裝置所作之聲音作品、現場互動演奏裝置等已發展至近乎完善，因此本文提出一種基於腦電系統 - 即演奏者本身於演奏同時所產生之腦部訊號為主之演奏輔助介面，透過將創作者與演奏者連結之法，媒合為一演奏現代樂曲之新模式。

This thesis aims at the construct of a music performing assistant interface based on brain waves of the performer, making relative sound effects to interact with the piece, which is performed. In general, there are many parameters, which are hard to notate in conventional notations, for example, reverb, real-time interactive sound effects and other sound processing. It is notable that compare to classical instrumentations, contemporary instrumentation is obviously different in depth; starting from the development of tape recording, sound processing is dealt not only by play and stop, but being manipulated by reversing, cutting, collaging and other techniques to perform extraordinary sounds. Since the development of compositions from various interfaces and real-time interactive performances are achieving perfection, this thesis propose a music performing assistant interface – EEG, an interface which reads the brain waves of a performer – to demonstrate a new way for contemporary music to connect performer and composer.