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  4. A new time-frequency representation for music signal analysis: Resonator Time-Frequency Image
 
conference paper

A new time-frequency representation for music signal analysis: Resonator Time-Frequency Image

Zhou, Ruohua
•
Mattavelli, Marco  
2007
2007 9Th International Symposium On Signal Processing And Its Applications
9th International Symposium on Signal Processing and its Applications

Most of music related tasks need a joint time-because a music signal varies with time. The existing time-frequency analysis approaches show some serious limitations for application in music signal processing. This paper presents an original frequency-dependent time-frequency analysis tool called the Resonator Time-Frequency Image (RTFI). The RTFI is implemented by a first-order complex resonator bank so as to be computation-efficient. Different music analysis tasks may have different time-frequency resolution requirements. Using the RTFI, one can select different time-frequency resolutions, such as uniform analysis, constant-Q analysis, or ear-like analysis by simply setting different parameters; and letting the RTFI generalize all these analyses in one framework. An example of using the RTFI in music onset detection is introduced.

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Type
conference paper
DOI
10.1109/ISSPA.2007.4555594
Web of Science ID

WOS:000259439900321

Author(s)
Zhou, Ruohua
Mattavelli, Marco  
Date Issued

2007

Publisher

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa

Published in
2007 9Th International Symposium On Signal Processing And Its Applications
ISBN of the book

978-1-4244-0778-1

Start page

1278

End page

1281

Subjects

music signal processing

•

digital audio processing

•

digital music

Editorial or Peer reviewed

NON-REVIEWED

Written at

EPFL

EPFL units
SCI-STI-MM  
Event nameEvent placeEvent date
9th International Symposium on Signal Processing and its Applications

Sharjah, U ARAB EMIRATES

Feb 12-15, 2007

Available on Infoscience
July 4, 2012
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/83535
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