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Characterizing Sounds of Different Sources in a Commercial Broiler House

机译:在商业肉鸡房屋中表征不同来源的声音

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摘要

Audio data collected in commercial broiler houses are mixed sounds of different sources that contain useful information regarding bird health condition, bird behavior, and equipment operation. However, characterizations of the sounds of different sources in commercial broiler houses have not been well established. The objective of this study was, therefore, to determine the frequency ranges of six common sounds, including bird vocalization, fan, feed system, heater, wing flapping, and dustbathing, at bird ages of week 1 to 8 in a commercial Ross 708 broiler house. In addition, the frequencies of flapping (in wing flapping events, flaps/s) and scratching (during dustbathing, scratches/s) behaviors were examined through sound analysis. A microphone was installed in the middle of broiler house at the height of 40 cm above the back of birds to record audio data at a sampling frequency of 44,100 Hz. A top-view camera was installed to continuously monitor bird activities. Total of 85 min audio data were manually labeled and fed to MATLAB for analysis. The audio data were decomposed using Maximum Overlap Discrete Wavelet Transform (MODWT). Decompositions of the six concerned sound sources were then transformed with the Fast Fourier Transform (FFT) method to generate the single-sided amplitude spectrums. By fitting the amplitude spectrum of each sound source into a Gaussian regression model, its frequency range was determined as the span of the three standard deviations (99% CI) away from the mean. The behavioral frequencies were determined by examining the spectrograms of wing flapping and dustbathing sounds. They were calculated by dividing the number of movements by the time duration of complete behavioral events. The frequency ranges of bird vocalization changed from 2481 ± 191–4409 ± 136 Hz to 1058 ± 123–2501 ± 88 Hz as birds grew. For the sound of fan, the frequency range increased from 129 ± 36–1141 ± 50 Hz to 454 ± 86–1449 ± 75 Hz over the flock. The sound frequencies of feed system, heater, wing flapping and dustbathing varied from 0 Hz to over 18,000 Hz. The behavioral frequencies of wing flapping were continuously decreased from week 3 (17 ± 4 flaps/s) to week 8 (10 ± 1 flaps/s). For dustbathing, the behavioral frequencies decreased from 16 ± 2 scratches/s in week 3 to 11 ± 1 scratches/s in week 6. In conclusion, characterizing sounds of different sound sources in commercial broiler houses provides useful information for further advanced acoustic analysis that may assist farm management in continuous monitoring of animal health and behavior. It should be noted that this study was conducted with one flock in a commercial house. The generalization of the results remains to be explored.
机译:商用肉鸡房屋收集的音频数据是不同来源的混合声音,其包含有关鸟类健康状况,鸟类行为和设备操作的有用信息。然而,商业肉鸡房屋中不同来源的声音的特征尚未得到很好的成熟。因此,本研究的目的是确定六种常见声音的频率范围,包括鸟发声,风扇,饲料系统,加热器,机翼拍打和灰尘间,在商业罗斯708肉鸡的一周内的鸟类年龄至8周房子。另外,通过声音分析检查拍打(翼拍事件,襟翼/ s)和刮擦(在灰尘间,刮擦,划痕期间)的频率。麦克风安装在鸟类后面40厘米的高度的肉鸡中间,以44,100 Hz的采样频率记录音频数据。俯视相机安装以不断监控鸟类活动。手动标记85分钟的音频数据并将其送入MATLAB以进行分析。音频数据使用最大重叠离散小波变换(MODWT)进行分解。然后用快速傅里叶变换(FFT)方法改变六个相关声源的分解,以产生单侧幅度谱。通过将每个声源的幅度谱拟合到高斯回归模型中,其频率范围被确定为远离平均值的三个标准偏差(99%CI)的跨度。通过检查机翼拍打和灰尘听起来的声音的谱图来确定行为频率。它们通过划分了完全行为事件的持续时间来计算运动的数量。鸟类发声的频率范围从2481±191-4409±136Hz变为1058±123-2501±88赫兹,因为鸟类成长。对于风扇的声音,频率范围从129±36-1141±50 Hz增加到454±86-1449±75赫兹。进料系统,加热器,机翼拍打和灰尘间的声音频率从0 Hz变化到超过18,000 Hz。机翼扑振的行为频率从第3周(17±4襟翼)到第8周(10±1襟翼/ s)不断下降。对于灰尘间,行为频率在第3周的第3周至11±1次划痕中从16±2划痕下降。总之,在商业肉鸡房屋中的不同声源的表征提供了用于进一步高级声学分析的有用信息可以在不断监测动物健康和行为的情况下协助农业管理。应该指出的是,这项研究是在商业房子里的一个羊群进行的。结果的概括仍有待探索。

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