Distinguishing pianos: The difference in similarity

Himadri Mukherjee, Matteo Marciano, Ankita Dhar, Sk Md Obaidullah, Kaushik Roy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publication2022 IEEE 7th International conference for Convergence in Technology, I2CT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665421683
DOIs
StatePublished - 2022
Event7th IEEE International conference for Convergence in Technology, I2CT 2022 - Pune, India
Duration: Apr 7 2022Apr 9 2022

Publication series

Name2022 IEEE 7th International conference for Convergence in Technology, I2CT 2022

Conference

Conference7th IEEE International conference for Convergence in Technology, I2CT 2022
Country/TerritoryIndia
CityPune
Period4/7/224/9/22

Keywords

  • Inter instrument variety
  • Lead instrument identification
  • Line spectral frequency
  • Music signal processing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems and Management

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