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Our lab would like to understand the grammar and meaning of bird songs. Bird songs are not random; they do have rules for putting notes and phrases together. We would like to characterize those rules. Recent advances in sensor arrays, computation, and computational linguistics finally make this long-sought goal achievable. The approach taken by our laboratory is to: (1) collect a large amount of bird song recordings from hand-held or acoustic sensor arrays in a variety of natural settings; (2) process the data by software, some of which is recent and some of which we are developing with new advances in localizing sources with beamforming, then filtering out noise, identifying events of interest, and then classifying them according to species and individual, combining that with behavioral observations when possible; (3) this information/knowledge is then stored in a large database that is shared among collaborating research groups; and (4) analyzing the recordings by computational-linguistic tools to identify the syntax of the songs. Combined that linguistic understanding with information about the context in which it occurred, our aim to explore new software methods to identify the meaning of those songs. We collaborate with ecologists, engineers, linguists and artists.
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The UW National Parks Service Research Station Annual Reports (2018): 118-129
BIOACOUSTICS-THE INTERNATIONAL JOURNAL OF ANIMAL SOUND AND ITS RECORDINGno. 3 (2017): 259-270
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