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Author, Editor(s)

Author(s):

Kurth, Frank
Müller, Meinard

dblp
dblp



BibTeX cite key*:

Müller2008

Title

Title*:

Efficient Index-Based Audio Matching

Journal

Journal Title*:

IEEE Transactions on Audio, Speech, and Language Processing

Journal's URL:

http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10376

Download URL
for the article:

http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4432645&isnumber=4432632

Language:

English

Publisher

Publisher's
Name:

IEEE

Publisher's URL:

http://ieeexplore.ieee.org

Publisher's
Address:


ISSN:

1558-7916

Vol, No, pp, Date

Volume*:

16

Number:

2

Publishing Date:

February 2008

Pages*:

382-395

Number of
VG Pages:


Page Start:


Page End:


Sequence Number:


DOI:

10.1109/TASL.2007.911552

Note, Abstract, ©

Note:


(LaTeX) Abstract:

Given a large audio database of music recordings, the goal of classical audio identification is to identify a particular audio recording by means of a short audio fragment. Even though recent identification algorithms show a significant degree of robustness towards noise, MP3 compression artifacts, and uniform temporal distortions, the notion of similarity is rather close to the identity. In this paper, we address a higher level retrieval problem, which we refer to as audio matching: given a short query audio clip, the goal is to automatically retrieve all excerpts from all recordings within the database that musically correspond to the query. In our matching scenario, opposed to classical audio identification, we allow semantically motivated variations as they typically occur in different interpretations of a piece of music. To this end, this paper presents an efficient and robust audio matching procedure that works even in the presence of significant variations, such as nonlinear temporal, dynamical, and spectral deviations, where existing algorithms for audio identification would fail. Furthermore, the combination of various deformation- and fault-tolerance mechanisms allows us to employ standard indexing techniques to obtain an efficient, index-based matching procedure, thus providing an important step towards semantically searching large-scale real-world music collections.

URL for the Abstract:


Categories,
Keywords:


HyperLinks / References / URLs:


Copyright Message:


Personal Comments:


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Access Level:

Public

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computer Graphics Group

Audience:

experts only

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort


BibTeX Entry:

@ARTICLE{Müller2008,
AUTHOR = {Kurth, Frank and M{\"u}ller, Meinard},
TITLE = {Efficient Index-Based Audio Matching},
JOURNAL = {IEEE Transactions on Audio, Speech, and Language Processing},
PUBLISHER = {IEEE},
YEAR = {2008},
NUMBER = {2},
VOLUME = {16},
PAGES = {382--395},
MONTH = {February},
ISBN = {1558-7916},
DOI = {10.1109/TASL.2007.911552},
}


Entry last modified by Meinard Müller, 03/17/2009
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Editor(s)
Meinard Müller
Created
01/14/2009 05:09:46 PM
Revision
1.
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Editor
Meinard Müller
Meinard Müller


Edit Date
03/17/2009 05:25:50 PM
01/14/2009 05:09:46 PM


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