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- W2360884279 abstract "In order to improve the accuracy of bird sounds recognition under different kinds of noise environments in the real world,a new bird sounds recognition technology based on the APNCC extraction was proposed.First,the noise estimation algorithm for highly non-stationary environments was used to estimate the noise power spectrum of the bird sound in the noise environment.Second,the multi-band spectral subtraction was presented to achieve the background noise reduction.Then,the estimated clean bird sound spectrum was combined with the process of the PNCC extraction to calculate the APNCC.Finally,the comparison experiments of 34 bird sounds recognition in 3 different real environments under different SNRs were constructed,based on the combination of the SVM classifier and 3 different features,namely the APNCC,PNCC and MFCC.The experimental results show that the APNCC outperforms other features in the average recognition rate and the noise robustness,especially for the conditions of all SNRs lower than 30dB." @default.
- W2360884279 created "2016-06-24" @default.
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- W2360884279 date "2013-01-01" @default.
- W2360884279 modified "2023-09-23" @default.
- W2360884279 title "Anti-Noise Power Normalized Cepstral Coefficients in Bird Sounds Recognition" @default.
- W2360884279 hasPublicationYear "2013" @default.
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