Towards A Sound Recognition System for Traditional Malay Musical Instruments

نویسندگان

  • Norhalina Senan
  • Ali Selamat
چکیده

In recent year, studies on music content analysis especially on musical instrument recognition system are developed extensively. However, almost all the studies are developed based on the Western musical instruments. Meanwhile, study on non-Western musical instrument especially on traditional Malay musical instrument is still lacking. With the enormous amount of instruments data and features schemes, adapting the existing techniques for recognizing the traditional Malay musical instrument sound might not be as easy due to the differences in the feature schemes, amount of sound samples and recording environment. Thus, the existing techniques that have been proposed for automatic musical instrument recognition system will be reviewed and evaluated especially on their performance in achieving the highest accuracy rate. In addition, the motivation, strategy and the factors that can affect the development of the traditional Malay musical instrument also will be discussed.

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تاریخ انتشار 2009