TY - GEN
T1 - Gamelan Orchestra Transcription Using Neural Network
AU - Nurdiyah, Dewi
AU - Suprapto, Yoyon K.
AU - Yuniarno, Eko Mulyanto
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/11/17
Y1 - 2020/11/17
N2 - 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.
AB - 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.
KW - Automatic Music Transcription
KW - Gamelan Notation Recognition
KW - Notation Classification
UR - http://www.scopus.com/inward/record.url?scp=85099662132&partnerID=8YFLogxK
U2 - 10.1109/CENIM51130.2020.9297988
DO - 10.1109/CENIM51130.2020.9297988
M3 - Conference contribution
AN - SCOPUS:85099662132
T3 - CENIM 2020 - Proceeding: International Conference on Computer Engineering, Network, and Intelligent Multimedia 2020
SP - 371
EP - 376
BT - CENIM 2020 - Proceeding
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia, CENIM 2020
Y2 - 17 November 2020 through 18 November 2020
ER -