US 12,387,712 B2
Characterization via homologizing disparate speech terminology
Joao Reboucas Dorea, Waunakee, WI (US); and Rafael Ferreira, Madison, WI (US)
Assigned to Wisconsin Alumni Research Foundation, Madison, WI (US)
Appl. No. 17/925,774
Filed by Wisconsin Alumni Research Foundation, Madison, WI (US)
PCT Filed Jul. 28, 2021, PCT No. PCT/US2021/043455
§ 371(c)(1), (2) Date Nov. 16, 2022,
PCT Pub. No. WO2022/026547, PCT Pub. Date Feb. 3, 2022.
Claims priority of provisional application 63/057,472, filed on Jul. 28, 2020.
Prior Publication US 2023/0178070 A1, Jun. 8, 2023
Int. Cl. G10L 15/00 (2013.01); G10L 15/26 (2006.01)
CPC G10L 15/005 (2013.01) [G10L 15/26 (2013.01)] 19 Claims
OG exemplary drawing
 
1. An apparatus comprising:
audio processing circuitry configured and arranged to identify a respective language used for each of a plurality of audio data sets pertaining to collected audio from human speech; and
homologizing circuitry configured and arranged with the audio processing circuitry to homologize terms in the audio data sets for characterizing a plurality of animals to which respective ones of the audio data sets are linked, by:
assessing and assigning terms in the respective audio data sets to respective homologized meanings, which include respective terms that characterize the health of one of the plurality of animals, based on the identified language for the respective audio data sets and a predefined association between terms in the identified language for each audio data set and the homologized meaning; and
for each of the audio data sets, storing the homologized meaning in association with one of the plurality of animals to which the audio data set is linked and associating the homologized meanings with two or more disparate terms in the audio data sets, including associating a single homologized term with the two or more disparate terms such that the identification of either of the two or more disparate terms involves associating the single homologized term with the one of the plurality of animals, therein facilitating common characterizations of the plurality of animals utilizing disparate languages and terms.