基于LabVIEW的母羊声音信号处理与识别系统研究
发布时间：2019-03-02 18:50
【摘要】：发声是动物行为的一种体现,而且具有丰富的生物学功能,它不仅是动物交流的途径,也包含动物对内部机体状态和需求的反馈信息。叫声能够在一定程度上反馈其机体的状况及其对环境的应激情况,有经验的畜牧工作者可以通过畜禽的叫声了解动物当前的行为状况,对动物叫声信号的分析可以找到与之相关的行为特征。 本文以LabVIEW2010软件为基础,设计了一种母羊声音信号处理与识别系统,实现了母羊声音信号的采集、处理、特征值提取、数据库存储和行为识别等功能。通过对母羊在不同应激行为下的声音信号进行时域、频域和联合时频域分析等,提取了信号持续时间、时间间隔、主峰频率、能量集中范围等特征参数,并利用Access2007建立了相关特征值数据库。 实验结果表明：母羊在不同生理和外部环境刺激下的声音信号存在较大差异,该系统可以实现母羊在产羔、寻羔、饥饿等应激行为下声音信号的处理与特征值提取,具有界面友好、操作简单等优点,为进一步研究母羊声音信号特征提供了基础。
[Abstract]:Voiceover is an embodiment of animal behavior and has rich biological functions. It is not only a way to communicate with animals, but also contains feedback information on the internal state and demand of animals. Calls can provide feedback to a certain extent on the state of their bodies and their stress on the environment. Experienced livestock workers can learn about the current behavior of animals through the calls of livestock and poultry. Analysis of animal call signals can find behavioral characteristics associated with them. In this paper, based on LabVIEW2010 software, a sound signal processing and recognition system of ewe is designed. The functions of collecting, processing, extracting characteristic value, storing database and recognizing behavior of ewe sound signal are realized. By analyzing the sound signals of ewes under different stress behaviors in time domain, frequency domain and combined time-frequency domain, the characteristic parameters such as signal duration, time interval, main peak frequency, energy concentration range and so on were extracted, and the characteristic parameters such as duration, time interval, main peak frequency and energy concentration range were extracted. The database of relevant eigenvalues is established by using Access2007. The experimental results show that the sound signals of ewe under different physiological and external stimuli have great differences. The system can realize the processing of sound signals and extraction of eigenvalues of ewe under stress behaviors such as lambing, starvation and so on. It has the advantages of friendly interface and simple operation, which provides a basis for further study of the sound signal characteristics of ewe.
【学位授予单位】：内蒙古农业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN912.3;S826
本文编号：2433357
[Abstract]:Voiceover is an embodiment of animal behavior and has rich biological functions. It is not only a way to communicate with animals, but also contains feedback information on the internal state and demand of animals. Calls can provide feedback to a certain extent on the state of their bodies and their stress on the environment. Experienced livestock workers can learn about the current behavior of animals through the calls of livestock and poultry. Analysis of animal call signals can find behavioral characteristics associated with them. In this paper, based on LabVIEW2010 software, a sound signal processing and recognition system of ewe is designed. The functions of collecting, processing, extracting characteristic value, storing database and recognizing behavior of ewe sound signal are realized. By analyzing the sound signals of ewes under different stress behaviors in time domain, frequency domain and combined time-frequency domain, the characteristic parameters such as signal duration, time interval, main peak frequency, energy concentration range and so on were extracted, and the characteristic parameters such as duration, time interval, main peak frequency and energy concentration range were extracted. The database of relevant eigenvalues is established by using Access2007. The experimental results show that the sound signals of ewe under different physiological and external stimuli have great differences. The system can realize the processing of sound signals and extraction of eigenvalues of ewe under stress behaviors such as lambing, starvation and so on. It has the advantages of friendly interface and simple operation, which provides a basis for further study of the sound signal characteristics of ewe.
【学位授予单位】：内蒙古农业大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN912.3;S826
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