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Modeling the Syntax of the song of the Great Reed Warbler Faculty of Engineering, LTH

Tronarp, Filip (2014) In Bachelor's Theses in Mathematical Sciences FMSL01 20142
Mathematical Statistics
Abstract (Swedish)
The song of many songbirds can be thought of as consisting of variable sequences of a finite set of syllables.
A common approach in understanding the structure of these songs is to model the syllable sequences
with a Markov Model. The Markov Model can either allow one-to-one (Markov Chain), many-to-many
(Hidden Markov Model) or many-to-one (Partially Observed Markov Model) state to syllable mappings.
In this project the song of the Great Reed Warbler is being studied in terms of the syllable sequences
(strophes) being generated. It is shown that the Markov chain captures a lot of the structure in the song
in the sense that it to large degree reproduces the syllable distributions at a specific position in the song
that were observed... (More)
The song of many songbirds can be thought of as consisting of variable sequences of a finite set of syllables.
A common approach in understanding the structure of these songs is to model the syllable sequences
with a Markov Model. The Markov Model can either allow one-to-one (Markov Chain), many-to-many
(Hidden Markov Model) or many-to-one (Partially Observed Markov Model) state to syllable mappings.
In this project the song of the Great Reed Warbler is being studied in terms of the syllable sequences
(strophes) being generated. It is shown that the Markov chain captures a lot of the structure in the song
in the sense that it to large degree reproduces the syllable distributions at a specific position in the song
that were observed in data. The repetition distribution for some syllable classes was consistent with
that of a Markov chain while other syllable classes were better modeled by allowing the self-transition
probability to be adapted as the syllable class is repeated more and more. Still some other syllable
classes did not have their repetition distributions accurately captured by these two alternatives. (Less)
Please use this url to cite or link to this publication:
author
Tronarp, Filip
supervisor
organization
course
FMSL01 20142
year
type
M2 - Bachelor Degree
subject
publication/series
Bachelor's Theses in Mathematical Sciences
report number
LUTFMS-4009-2014
ISSN
1654-6229
other publication id
2014:K10
language
English
id
4647240
date added to LUP
2014-09-16 11:37:35
date last changed
2024-10-14 12:08:11
@misc{4647240,
  abstract     = {{The song of many songbirds can be thought of as consisting of variable sequences of a finite set of syllables.
A common approach in understanding the structure of these songs is to model the syllable sequences
with a Markov Model. The Markov Model can either allow one-to-one (Markov Chain), many-to-many
(Hidden Markov Model) or many-to-one (Partially Observed Markov Model) state to syllable mappings.
In this project the song of the Great Reed Warbler is being studied in terms of the syllable sequences
(strophes) being generated. It is shown that the Markov chain captures a lot of the structure in the song
in the sense that it to large degree reproduces the syllable distributions at a specific position in the song
that were observed in data. The repetition distribution for some syllable classes was consistent with
that of a Markov chain while other syllable classes were better modeled by allowing the self-transition
probability to be adapted as the syllable class is repeated more and more. Still some other syllable
classes did not have their repetition distributions accurately captured by these two alternatives.}},
  author       = {{Tronarp, Filip}},
  issn         = {{1654-6229}},
  language     = {{eng}},
  note         = {{Student Paper}},
  series       = {{Bachelor's Theses in Mathematical Sciences}},
  title        = {{Modeling the Syntax of the song of the Great Reed Warbler Faculty of Engineering, LTH}},
  year         = {{2014}},
}