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首页> 外文会议>International Conference on Electrical, Telecommunication and Computer Engineering >Frogs Sound Detection to Control The Population of Frogs as Pests Using Mel-frequency Cepstral Coefficient-Vector Quantization (MFCC-VQ) Algorithm
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Frogs Sound Detection to Control The Population of Frogs as Pests Using Mel-frequency Cepstral Coefficient-Vector Quantization (MFCC-VQ) Algorithm

机译：使用梅尔频率倒谱系数矢量量化（MFCC-VQ）算法的青蛙声音检测，以控制青蛙作为害虫的种群

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The marsh frogs that lost their habitat will become pests that are very detrimental to the fish cultivators. A technological approach is mandatory to assure the fish ponds to always be free from the frogs' presence by detecting the frog sound as a sign of frog existence in the breeding pond. This research implemented Mel Frequency Cepstral Coefficients- Vector Quantization (MFCC-VQ) algorithm to identify the frog's sound. The captured sound signal features will be extracted using Mel Frequency Cepstral Coefficients (MFCC) algorithm. The extracted sound signal will be identified using Vector Quantization (VQ) algorithm. The result of this research is the further the distance of the microphone from the sound source and the noisier environmental conditions in the detection process, the smaller the accuracy percentage. This study's highest accuracy is 99.6% at a distance of 1 meter and 83.2% at a distance of 11 meters in normal circumstances. Through the test, it can also be concluded that the further distance of the microphone from the source, the smaller the percentages of specificity and sensitivity, and the slower the processing speed, although the difference in speed per meter is not too significant.
机译：失去栖息地的沼泽青蛙将变成害虫，对养鱼者非常有害。通过检测青蛙的声音作为繁殖池中青蛙存在的标志，必须采取一种技术方法来确保鱼池始终远离青蛙的存在。这项研究实现了梅尔频率倒谱系数矢量量化（MFCC-VQ）算法来识别青蛙的声音。捕获的声音信号特征将使用梅尔频率倒谱系数（MFCC）算法提取。提取的声音信号将使用矢量量化（VQ）算法进行标识。这项研究的结果是，在检测过程中，麦克风距声源的距离越远，环境噪声越嘈杂，准确度百分比就越小。在正常情况下，该研究的最高准确度是在1米的距离内为99.6％，在11米的距离内为83.2％。通过测试，还可以得出结论，尽管每米速度的差异不太明显，但麦克风与信号源的距离越远，特异性和灵敏性的百分比就越小，处理速度就越慢。

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