Multi-Pitch Estimation using NHF with Multi-Dictionary Distinguishing Attack and Reverberation of Sounds

Takanori Fujisawa, Sora Harada, Masaaki Ikehara

研究成果: Conference contribution

抄録

This paper proposes a multiple pitch estimation algorithm for the piano music which improves both precision and processing time. The conventional method applies non-negative matrix factorization (NMF) and singular value decomposition to ensure the continuity of sound and pattern of musics. However, audio signal spectrogram has large elements and processing singular value decomposition is inefficient in the computational time. Our method separates the input audio spectrogram into the block of sound. Then we apply a NMF with group sparsity constraint to enforce the continuity of sound. In addition, we use the different dictionaries for the attack part and the reverberation part of the sound. It improves the precision of the estimation for each part.

本文言語English
ホスト出版物のタイトルConference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
編集者Michael B. Matthews
出版社IEEE Computer Society
ページ1836-1841
ページ数6
ISBN(電子版)9781728143002
DOI
出版ステータスPublished - 2019 11
イベント53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019 - Pacific Grove, United States
継続期間: 2019 11 32019 11 6

出版物シリーズ

名前Conference Record - Asilomar Conference on Signals, Systems and Computers
2019-November
ISSN(印刷版)1058-6393

Conference

Conference53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019
国/地域United States
CityPacific Grove
Period19/11/319/11/6

ASJC Scopus subject areas

  • 信号処理
  • コンピュータ ネットワークおよび通信

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