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What bird is singing?

Qvist, Andreas (2013) FMS820 20132
Mathematical Statistics
Abstract (Swedish)
The goal of this work was to create a model for characterizing bird species through
recordings of their song. A large set of twenty species with 10+ recordings in each
species was considered and the algorithm used time-frequency models for the characterization.
Three different approaches were used in an attempt to build the foundations
for the final model in a bottom to top manner. The resulting model divided birdsong
into syllables that were analyzed and compared in several time-frequency domains in
order to characterize the species. The domains include the Spectrogram, the Doppler
domain and the Ambiguity domain. The result varied depending on the complexity of
the song and the quality of the recordings but for simple songs with... (More)
The goal of this work was to create a model for characterizing bird species through
recordings of their song. A large set of twenty species with 10+ recordings in each
species was considered and the algorithm used time-frequency models for the characterization.
Three different approaches were used in an attempt to build the foundations
for the final model in a bottom to top manner. The resulting model divided birdsong
into syllables that were analyzed and compared in several time-frequency domains in
order to characterize the species. The domains include the Spectrogram, the Doppler
domain and the Ambiguity domain. The result varied depending on the complexity of
the song and the quality of the recordings but for simple songs with recordings of good
quality the results were very good. (Less)
Please use this url to cite or link to this publication:
author
Qvist, Andreas
supervisor
organization
course
FMS820 20132
year
type
H2 - Master's Degree (Two Years)
subject
language
English
id
4057963
date added to LUP
2013-09-24 11:05:12
date last changed
2013-09-24 11:05:12
@misc{4057963,
  abstract     = {The goal of this work was to create a model for characterizing bird species through
recordings of their song. A large set of twenty species with 10+ recordings in each
species was considered and the algorithm used time-frequency models for the characterization.
Three different approaches were used in an attempt to build the foundations
for the final model in a bottom to top manner. The resulting model divided birdsong
into syllables that were analyzed and compared in several time-frequency domains in
order to characterize the species. The domains include the Spectrogram, the Doppler
domain and the Ambiguity domain. The result varied depending on the complexity of
the song and the quality of the recordings but for simple songs with recordings of good
quality the results were very good.},
  author       = {Qvist, Andreas},
  language     = {eng},
  note         = {Student Paper},
  title        = {What bird is singing?},
  year         = {2013},
}