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子帶特征參數(shù)在家禽應(yīng)激發(fā)聲識(shí)別中的應(yīng)
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of Subband Feature of Poultry Vocalization for Identifying Their Status
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    基于子帶梅爾頻譜質(zhì)心的優(yōu)化特征參數(shù)(SMSC),研究了35日齡海蘭褐蛋雞在正常狀態(tài),、光照與人為干擾等應(yīng)激下發(fā)聲信息的變化特征,,并通過建立支持向量機(jī)模型(SVM),,比較了采用優(yōu)化特征參數(shù)與梅爾頻標(biāo)倒譜系數(shù)及其一階、二階導(dǎo)數(shù)組成的特征參數(shù)(MFCC_39)在識(shí)別不同應(yīng)激中的應(yīng)用效果,。試驗(yàn)結(jié)果表明,,采用加入梅爾頻譜質(zhì)心修正的特征參數(shù),在分類正確識(shí)別率方面平均提高了

    Abstract:

    24%,。Animal's welfare can be feed back from their vocalism. Some experiments were conducted to get 35-day-old chicken's vocalization in different environments, including normal environment, light off environment and human disturbance environment. Based on Mel frequency cepstral coefficient (MFCC), a new algorithm for feature extraction——subband Mel spectrum centroid (SMSC) was adopted. Support vector machine(SVM)classification model was used to evaluate the performance of test using different sound parameters. The results show the accuracy of recognition of SMSC was 24% more than MFCC parameter.

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李志忠,滕光輝.子帶特征參數(shù)在家禽應(yīng)激發(fā)聲識(shí)別中的應(yīng)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2009,40(3):143-146. of Subband Feature of Poultry Vocalization for Identifying Their Status[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(3):143-146.

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