TY - GEN
T1 - Distinguishing pianos
T2 - 7th IEEE International conference for Convergence in Technology, I2CT 2022
AU - Mukherjee, Himadri
AU - Marciano, Matteo
AU - Dhar, Ankita
AU - Obaidullah, Sk Md
AU - Roy, Kaushik
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Notating a music piece is not a trivial task. It requires training and experience. This is challenging for new and inexperienced musicians. Automated transcription systems can be very useful in such cases. A piece generally consists of multiple instruments and it is essential to separate them prior to transcription. The challenge aggravates even more when multiple modulations or varieties of the same instrument are present. This is common nowadays and hence, it is essential to distinguish different varieties of the same instrument prior to transcription. In this paper, a line spectral frequency-based technique is used. A highest accuracy of 97.06% was obtained for a dataset composed of 6 different pianos.
AB - Notating a music piece is not a trivial task. It requires training and experience. This is challenging for new and inexperienced musicians. Automated transcription systems can be very useful in such cases. A piece generally consists of multiple instruments and it is essential to separate them prior to transcription. The challenge aggravates even more when multiple modulations or varieties of the same instrument are present. This is common nowadays and hence, it is essential to distinguish different varieties of the same instrument prior to transcription. In this paper, a line spectral frequency-based technique is used. A highest accuracy of 97.06% was obtained for a dataset composed of 6 different pianos.
KW - Inter instrument variety
KW - Lead instrument identification
KW - Line spectral frequency
KW - Music signal processing
UR - http://www.scopus.com/inward/record.url?scp=85135606858&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85135606858&partnerID=8YFLogxK
U2 - 10.1109/I2CT54291.2022.9824034
DO - 10.1109/I2CT54291.2022.9824034
M3 - Conference contribution
AN - SCOPUS:85135606858
T3 - 2022 IEEE 7th International conference for Convergence in Technology, I2CT 2022
BT - 2022 IEEE 7th International conference for Convergence in Technology, I2CT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 April 2022 through 9 April 2022
ER -