• Multipitch estimation of piano...

Treffer: Multipitch estimation of piano sounds using a new probabilistic spectral smoothness principle

Title:
Multipitch estimation of piano sounds using a new probabilistic spectral smoothness principle
Authors:
Emiya, Valentin, Badeau, Roland, David, Bertrand
Contributors:
Speech and sound data modeling and processing (METISS), Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria), Laboratoire Traitement et Communication de l'Information (LTCI), Télécom ParisTech-Institut Mines-Télécom Paris (IMT)-Centre National de la Recherche Scientifique (CNRS), ANR-06-JCJC-0027,DESAM,Décomposition en Eléments Sonores et Applications Musicales(2006), European Project: 33502,K-SPACE
Source:
ISSN: 1558-7916 ; IEEE Transactions on Audio, Speech and Language Processing ; https://inria.hal.science/inria-00510392 ; IEEE Transactions on Audio, Speech and Language Processing, 2010, 18 (6), pp.1643-1654. ⟨10.1109/TASL.2009.2038819⟩ ; http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5356234.
Publisher Information:
HAL CCSD
Institute of Electrical and Electronics Engineers
Publication Year:
2010
Collection:
Université de Rennes 1: Publications scientifiques (HAL)
Subject Terms:
Acoustic signal analysis, audio processing, multipitch estimation, piano, transcription, spectral smoothness, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
Document Type:
Fachzeitschrift article in journal/newspaper
Language:
English
Relation:
info:eu-repo/grantAgreement//33502/EU/Knowledge Space of semantic inference for automatic annotation and retrieval of multimedia content/K-SPACE
DOI:
10.1109/TASL.2009.2038819
Availability:
https://inria.hal.science/inria-00510392
https://inria.hal.science/inria-00510392v1/document
https://inria.hal.science/inria-00510392v1/file/Emiya2010.pdf
https://doi.org/10.1109/TASL.2009.2038819
Rights:
info:eu-repo/semantics/OpenAccess
Accession Number:
edsbas.DDCF3AE0
Database:
BASE

Weitere Informationen

International audience ; A new method for the estimation of multiple concurrent pitches in piano recordings is presented. It addresses the issue of overlapping overtones by modeling the spectral envelope of the overtones of each note with a smooth autoregressive model. For the background noise, a moving-average model is used and the combination of both tends to eliminate harmonic and sub-harmonic erroneous pitch estimations. This leads to a complete generative spectral model for simultaneous piano notes, which also explicitly includes the typical deviation from exact harmonicity in a piano overtone series. The pitch set which maximizes an approximate likelihood is selected from among a restricted number of possible pitch combinations as the one. Tests have been conducted on a large homemade database called MAPS, composed of piano recordings from a real upright piano and from high-quality samples.