Gamelan Orchestra Transcription Using Neural Network

Dewi Nurdiyah, Yoyon K. Suprapto, Eko Mulyanto Yuniarno

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Orchestra transcription is a complex task in AMT (Automatic Music Transcription) because it contains a mixture of many notations from various instrument sources. In this paper we propose a reliable method for the transcription of notation of the balungan group gamelan orchestra consisting of demung, saron and peking instruments. Orchestra recordings did not initially have a ground truth label. Therefore, the method we propose is divided into two parts. First, constructs ground truth by recognizing each instrument in the orchestra with bandpass filter. Then, detect the pitch notation and its duration using adaptive threshold and frequency threshold. Second, orchestra signals in the time-frequency domain is trained together with the ground truth that has been built using a neural network. Our proposed method has been evaluated and produce significant testing performance with an average accuracy is 0.9658.

Original languageEnglish
Title of host publicationCENIM 2020 - Proceeding
Subtitle of host publicationInternational Conference on Computer Engineering, Network, and Intelligent Multimedia 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages371-376
Number of pages6
ISBN (Electronic)9781728182834
DOIs
Publication statusPublished - 17 Nov 2020
Event2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020 - Virtual, Surabaya, Indonesia
Duration: 17 Nov 202018 Nov 2020

Publication series

NameCENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020

Conference

Conference2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020
Country/TerritoryIndonesia
CityVirtual, Surabaya
Period17/11/2018/11/20

Keywords

  • Automatic Music Transcription
  • Gamelan Notation Recognition
  • Notation Classification

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