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MPI-INF D4 Publications :: Thesis :: Grosche, Peter Matthias


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Thesis - Doctoral dissertation | @PhdThesis | Doktorarbeit


Author
Author(s)*:Grosche, Peter Matthias
BibTeX citekey*:Grosche2012
Language:English

Title, School
Title*:Signal Processing Methods for Beat Tracking, Music Segmentation, and Audio Retrieval
School:Universität des Saarlandes
Type of Thesis*:Doctoral dissertation
Month:November
Year:2012


Note, Abstract, Copyright
LaTeX Abstract:The goal of music information retrieval (MIR) is to develop novel strategies and techniques for organizing, exploring, accessing, and understanding music data in an efficient manner.

The conversion of waveform-based audio data into semantically meaningful feature representations by the use of digital signal processing techniques is at the center of MIR and constitutes a difficult field of research because of the complexity and diversity of music signals.
In this thesis, we introduce novel signal processing methods
that allow for extracting musically meaningful information from audio signals. As main strategy, we exploit musical knowledge about the signals' properties to derive feature representations that show a significant degree of robustness against musical variations but still exhibit a high musical expressiveness. We apply this general strategy to three different areas of MIR:
Firstly, we introduce novel techniques for extracting tempo and beat information, where we particularly consider challenging music with changing tempo and soft note onsets. Secondly, we present novel algorithms for the automated segmentation and analysis of folk song field recordings, where one has to cope with significant fluctuations in intonation and tempo as well as recording artifacts. Thirdly, we explore a cross-version approach
to content-based music retrieval based on the query-by-example paradigm. In all three areas, we focus on application scenarios where strong musical variations make the extraction of musically meaningful information a challenging task.

Download Access Level:Public
Download File(s):View attachments here:

Referees, Status, Dates
1. Referee:Prof. Dr. Meinard Müller
2. Referee:Prof. Dr. Hans-Peter Seidel
Supervisor:Prof. Dr. Meinard Müller
Status:Completed
Date Kolloquium:9 November 2012
Chair Kolloquium:Prof. Dr. Christian Theobalt

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:
@PHDTHESIS{Grosche2012,
AUTHOR = {Grosche, Peter Matthias},
TITLE = {Signal Processing Methods for Beat Tracking, Music Segmentation, and Audio Retrieval},
SCHOOL = {Universit{\"a}t des Saarlandes},
YEAR = {2012},
TYPE = {Doctoral dissertation}
MONTH = {November},
}





Entry last modified by Peter Grosche, 12/27/2012
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Editor(s)
Peter Grosche
Created
12/27/2012 03:26:24 PM
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Editor
Peter Grosche



Edit Date
27.12.2012 15:26:24