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- W2009804785 abstract "<abstract> <bold>Abstract.</bold> Poultry scientists and researchers have been studying the possibility of identifying bird stress from the vocal patterns of broiler ï¬ocks. Being able to identify stress or sickness in a ï¬ock can lead to early interventions. However, as the ï¬ock ages, the vocal properties change. This paper presents the preliminary results of an age classiï¬cation technique using the C4.5 decision three algorithm using Mel-frequency cepstral coefï¬cients (MFCCs), audio frequencies commonly used from speech processing. Sound data was collected continuously over a 61-day period. The ï¬ock was composed of 400 Cobb500TM broilers raised under research conditions mimicking commercial operations. Results of the data processing and the C4.5 classiï¬cation indicate that age can be determined within one day of error with 70% frequency. This process of determining age of a ï¬ock is intended to be the ï¬rst step in a larger comprehensive system for identifying the condition of the ï¬ock and assessing animal welfare." @default.
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- W2009804785 date "2013-01-01" @default.
- W2009804785 modified "2023-10-18" @default.
- W2009804785 title "Analysis of Poultry Vocalizations for Age Estimation using Cepstral Coefficients and C4.5 Classification" @default.
- W2009804785 doi "https://doi.org/10.13031/aim.20131598524" @default.
- W2009804785 hasPublicationYear "2013" @default.
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