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Type :thesis
Subject :ML Literature of music
Main Author :Muhamad Hafifi Mokhtar
Title :Exploring the capacity of max as a digital platform for the production of noise music
Place of Production :Tanjong Malim
Publisher :Fakulti Seni, Komputeran dan Industri Kreatif
Year of Publication :2019
Corporate Name :Universiti Pendidikan Sultan Idris
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Abstract : Universiti Pendidikan Sultan Idris
Noise music  is a genre of music that  uses unconventional sounds in performances.  In Malaysia,   many  performers  use the analogue  approach  including  instruments  such as guitar  pedals,   contact  microphones  and  metal  objects  to  perform  noise  music.  The analogue approach limits  the possibilities of composing more noise music compared to the digital approach of sound  manipulation and audio signal processing today, available through  programmes  such  as  Max.  The   objective  of  this  research  is  to  explore  and critique Max as a digital platform for noise  music production. This research aims (I)  to identify techniques of producing noise music through  Max (2) create noise music using Max  (3)  perform  noise  music  produced   by  Max.  This   research  utilised  the  self­ ethnography  and  practice-led  approach  including  composing,   performing,  reflecting and  revising.  Research  outcomes  show  that  Max  can  replicate  most   of the  analogue approaches used in producing noise music. In addition, it has the capacity for  creating more    sound    expression    to    produce    noise    music    using    techniques     such    as randomisation,  audio  panning,  time-based  event  and  real-time  audio  processing.   In conclusion, Max has the capacity of producing noise music but it is not user friendly or  effective  as  a  self-taught  programme.  This  research  recommends  users  to  learn  this programme under an instructional approach prior to producing noise music.  

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