Title page for ETD etd-03042009-040851
|Type of Document
||Stuby, Richard George
||A stochastic measure of similarity between dolphin signature whistles
||Master of Science
|Beex, A. A. Louis
|Ricci, Fred J.
|VanLandingham, Hugh F.
|Date of Defense
Bottlenose dolprlin (Tursiops trunratus) whistles are currently studied by
subjective visual comparison of whistle spectrograms. This thesis describes the
novel use of stochastic modeling to automate the comparison of dolphin whistles
and to yield an objective, quantitative measure of whistle similarity. The
relationship of bottlenose dolphin whistle production to a model of human speech
production is discussed, providing a basis for the use of human speech recognition
techniques for creating whistle models.
Discrete hidden Markov models based on vector quantization of linear
prediction coefficients are used to create whistle models based on statistical
information derived from a sample set of dolphin whistles. Whistle model
comparison results are presented indicating that evaluation of bottlenose dolphin
whistles via hidden Markov modeling provides an objective measure of similarity
between whistles. The results also demonstrate that hidden Markov models
provide robustness against the effects of temporal and frequency variance in the comparison of whistles. The extensibility of stochastic modeling techniques to other
animal vocalizations is discussed and possibilities for further work in areas such
as the determination of possible structural components, similar to phonemes in
human speech, is provided.
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