Computational methods for a generalised acoustics analysis workflow : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Computer Science at Massey University, Auckland, New Zealand

dc.contributor.authorFukuzawa, Yukio
dc.date.accessioned2022-07-10T20:58:19Z
dc.date.available2022-07-10T20:58:19Z
dc.date.issued2022
dc.description.abstractIn this thesis, I develop a computer process for analysing birdsong dialect and implement a brand new software named Koe that facilitates real-world analysis of that nature. Koe can also be used for other kinds of analysis of birdsongs, and can also be used for other animal species too. As of the time this thesis is written, Koe has a user base of nearly 800 users all around the world, including bird enthusiasts, biology students and researchers. Collectively Koe is now hosting more than 1300 datasets, many of which are non-bird sounds.en
dc.identifier.urihttp://hdl.handle.net/10179/17296
dc.language.isoenen
dc.publisherMassey Universityen
dc.rightsThe Authoren
dc.subject.anzsrc460212 Speech recognitionen
dc.titleComputational methods for a generalised acoustics analysis workflow : a thesis presented in partial fulfilment of the requirements for the degree of Master of Science in Computer Science at Massey University, Auckland, New Zealanden
dc.typeThesisen
massey.contributor.authorFukuzawa, Yukio
thesis.degree.disciplineComputer Scienceen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Philosophy (MPhi)en

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