The invention discloses a method for losslessly identifying the
internal quality of nuts based on voiceprint features, which specifically relates to the field of acoustic detection technology, and comprises the following steps: first, performing ensemble empirical mode
decomposition on collected nut
impact soundprint signals; second, using a
mutual correlation coefficient method to screen intrinsic mode function components, and reconstructing a soundprint
signal with
noise and redundant information removed; third, extracting
time domain,
frequency domain, and time-
frequency domain features of the reconstructed soundprint
signal; fourth, using a recursive feature
elimination method to screen features; fifth, constructing a
support vector machine classifier, inputting the screened
feature set, and classifying and identifying the
internal quality of nuts; the invention utilizes voiceprint features for detection, does not need to destroy the nut shell or internal structure, ensures the integrity of the nuts, and reduces waste and loss. Compared with traditional physical or chemical detection methods, the voiceprint
feature detection method has higher detection speed and efficiency, can quickly screen and classify a large number of nuts, and accurately judge the
internal quality of the nuts.