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- W3030258519 abstract "An intelligent garbage classification system was designed which mainly used for front-end processing of garbage sorting. The system established a speech corpus of garbage vocabulary at first, and then extracted Mel Frequency Cepstral Coefficients (MFCC) from each garbage word in the speech corpus, moreover, set up characteristic parameters pattern base. Finally, it can correctly classify the garbage word of specific person and non-specific person separately speaking based on Dynamic Time Warping(DTW) matching reference characteristic parameters pattern with test pattern. Test results show that the system's speech recognition rate for specific person and non-specific person is up to 100% and 98.75% respectively." @default.
- W3030258519 created "2020-06-05" @default.
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- W3030258519 date "2019-12-06" @default.
- W3030258519 modified "2023-10-14" @default.
- W3030258519 title "Design and Implementation of Intelligent Garbage Classification System" @default.
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- W3030258519 doi "https://doi.org/10.1145/3386415.3387088" @default.
- W3030258519 hasPublicationYear "2019" @default.
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