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The NTNU Taiwanese ASR System for Formosa Speech Recognition Challenge 2020 ...
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Effective Decoder Masking for Transformer Based End-to-End Speech Recognition ...
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Fuzzy Evaluation Output of Taste Information for Liquor Using Electronic Tongue Based on Cloud Model
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Liu, Jingjing; Zuo, Mingxu; Low, Sze Shin; Xu, Ning; Chen, Zhiqing; Lv, Chuang; Cui, Ying; Shi, Yan; Men, Hong. - : MDPI, 2020
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Abstract:
As a taste bionic system, electronic tongues can be used to derive taste information for different types of food. On this basis, we have carried forward the work by making it, in addition to the ability of accurately distinguish samples, be more expressive by speaking evaluative language like human beings. Thus, this paper demonstrates the correlation between the qualitative digital output of the taste bionic system and the fuzzy evaluation language that conform to the human perception mode. First, through principal component analysis (PCA), backward cloud generator and forward cloud generator, two-dimensional cloud droplet groups of different flavor information were established by using liquor taste data collected by electronic tongue. Second, the frequency and order of the evaluation words for different flavor of liquor were obtained by counting and analyzing the data appeared in the artificial sensory evaluation experiment. According to the frequency and order of words, the cloud droplet range corresponding to each word was calculated in the cloud drop group. Finally, the fuzzy evaluations that originated from the eight groups of liquor data with different flavor were compared with the artificial sense, and the results indicated that the model developed in this work is capable of outputting fuzzy evaluation that is consistent with human perception rather than digital output. To sum up, this method enabled the electronic tongue system to generate an output, which conforms to human’s descriptive language, making food detection technology a step closer to human perception.
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Keyword:
Article
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URL: https://doi.org/10.3390/s20030686
http://www.ncbi.nlm.nih.gov/pubmed/32012652
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038490/
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Short-time speaker verification with different speaking style utterances
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In: PLoS One (2020)
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A comprehensive comparison and overview of R packages for calculating sample entropy
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Additional file 1: of Prevalence of and risk factors associated with Cryptosporidium infection in an underdeveloped rural community of southwest China ...
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Additional file 1: of Prevalence of and risk factors associated with Cryptosporidium infection in an underdeveloped rural community of southwest China ...
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Additional file 1: of Spatial transmission and meteorological determinants of tuberculosis incidence in Qinghai Province, China: a spatial clustering panel analysis ...
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Additional file 1: of Spatial transmission and meteorological determinants of tuberculosis incidence in Qinghai Province, China: a spatial clustering panel analysis ...
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