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Vocal Effort Detection Based on Spectral Information Entropy Feature and Model Fusion
Chao, Hao,Lu, Bao-Yun,Liu, Yong-Li,Zhi, Hui-Lai Korea Information Processing Society 2018 Journal of information processing systems Vol.14 No.1
Vocal effort detection is important for both robust speech recognition and speaker recognition. In this paper, the spectral information entropy feature which contains more salient information regarding the vocal effort level is firstly proposed. Then, the model fusion method based on complementary model is presented to recognize vocal effort level. Experiments are conducted on isolated words test set, and the results show the spectral information entropy has the best performance among the three kinds of features. Meanwhile, the recognition accuracy of all vocal effort levels reaches 81.6%. Thus, potential of the proposed method is demonstrated.
Overexpression of Cyclooxygenase-1 Correlates with Poor Prognosis in Renal Cell Carcinoma
Yu, Zu-Hu,Zhang, Qiang,Wang, Ya-Dong,Chen, Jing,Jiang, Zhi-Mao,Shi, Min,Guo, Xin,Qin, Jie,Cui, Guang-Hui,Cai, Zhi-Ming,Gui, Yao-Ting,Lai, Yong-Qing Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.6
The aim of this study was to evaluate expression of COX-1 in renal cell carcinoma (RCC) and its prognostic value. mRNA of COX-1 was detected in 42 paired RCC and adjacent normal tissues with quantitative realtime polymerase chain reaction (qRT-PCR). Expression of COX-1 was also evaluated in 196 RCC sections and 91 adjacent normal tissues with immunohistochemistry. Statistical analysis was performed to assess COX-1 expression in RCC and its prognostic significance. The results of qRT-PCR showed mRNA levels of COX-1 in RCC tissues to be significantly higher than that in adjacent normal tissues (p < 0.001). Immunohistochemical assays also revealed COX-1 to be overexpressed in RCC tissues (p < 0.001). Statistical analysis demonstrated high expression of COX-1 was correlated with tumour size (p = 0.002), pathological stage (p = 0.003), TNM stage (p = 0.003, 0.007, 0.027, respectively), and tumour recurrence (p < 0.001). Survival analysis indicated patients with high expression of COX-1 had shorter survival time (p < 0.001), and COX-1 was an independent predictor. This is the first study to reveal overexpression of COX-1 in RRC and point to use as a prognostic marker in affected patients.
Vocal Effort Detection Based on Spectral Information Entropy Feature and Model Fusion
( Hao Chao ),( Bao-yun Lu ),( Yong-li Liu ),( Hui-lai Zhi ) 한국정보처리학회 2018 Journal of information processing systems Vol.14 No.1
Vocal effort detection is important for both robust speech recognition and speaker recognition. In this paper, the spectral information entropy feature which contains more salient information regarding the vocal effort level is firstly proposed. Then, the model fusion method based on complementary model is presented to recognize vocal effort level. Experiments are conducted on isolated words test set, and the results show the spectral information entropy has the best performance among the three kinds of features. Meanwhile, the recognition accuracy of all vocal effort levels reaches 81.6%. Thus, potential of the proposed method is demonstrated.