DocumentCode
6149
Title
Joint Estimation of Multiple Notes and Inharmonicity Coefficient Based on
-Triplet for Automatic Piano Transcription
Author
Changhyun Kim ; Wonil Chang ; Sang-Hoon Oh ; Soo-Young Lee
Author_Institution
Dept. of Bio & Brain Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
Volume
21
Issue
12
fYear
2014
fDate
Dec. 2014
Firstpage
1536
Lastpage
1540
Abstract
With the increasing importance of smart gadgets in our daily lives, there is a need for an automatic piano transcription system in various multimedia services. For automatic piano transcription, the string inharmonicity coefficient (B) and fundamental frequency (f0) should be detected robustly and accurately. The proposed triplet-sequentially additive partial (SAP) algorithm improves the current B estimation algorithm in terms of both performance and speed with less prior knowledge. Additionally, this joint (B, f0) estimation algorithm is applied directly to the transcription of real piano recordings, and the 4.41% improvement of accuracy was achieved over another transcription system that had both similar processing steps and feature extraction method.
Keywords
audio recording; audio signal processing; frequency estimation; musical instruments; B estimation algorithm; SAP algorithm; automatic piano transcription system; f0-triplet; fundamental frequency; joint (B, f0) estimation algorithm; multiple notes; real piano recordings; string inharmonicity coefficient; triplet-sequentially additive partial algorithm; Accuracy; Estimation; Frequency estimation; Harmonic analysis; Instruments; Signal processing algorithms; Speech; Automatic transcription system; inharmonicity coefficient; multiple-fundamental frequency estimation; piano;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2014.2344670
Filename
6868968
Link To Document