@InProceedings{Steiner2018_425,
author = {Peter Steiner and Simon Stone and Peter Birkholz},
booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2018},
title = {Piano Transcriber - A Note-based Approach for Multipitch Tracking},
year = {2018},
editor = {André Berton and Udo Haiber and Wolfgang Minker},
month = mar,
pages = {326--333},
publisher = {TUDpress, Dresden},
abstract = {In this paper we propose a new analysis-by-synthesis algorithm for multipitch
tracking. It uses spectral base components extracted from isolated piano notes
to model a spectrum. The advantage compared to other signal-based algorithms
is the application of musical knowledge for the identification process. The Pian-
oTranscriber uses a limited set of the 88 musical notes of the standard piano. The
extracted time series for all possible notes are used for a resynthesis step. Original
and resynthesized signals are compared using an adapted onset-detection function.
The PianoTranscriber was parametrized, optimized and evaluated using subsets of
the publicly available MAPS-database. For the evaluation, the PianoTranscriber
was compared to the state-of-the-art algorithm SONIC. The results show that the
PianoTranscriber outperformed SONIC using base components from the analyzed
piano and achieved similar results using base components from other pianos.},
isbn = {978-3-959081-28-3},
issn = {0940-6832},
keywords = {Signal Processing in Health and Music},
url = {https://www.essv.de/pdf/pdf/2018_326_333.pdf},
}