Dependency analysis of read Japanese sentences using pause and F0 information: a speaker independent case

Author(s):  
Kazuyuki Takagi ◽  
Kazuhiko Ozeki
2012 ◽  
Vol 591-593 ◽  
pp. 1410-1413
Author(s):  
Fen Lan Li ◽  
Xiao Yue Ma ◽  
Zhe Min Zhuang

Putting speech recognition technology into practice, a speaker-independent digital voice dialing system is realized in an embedded system. In the speech recognition process, the Mel Frequency Cepstrum Coefficients (MFCC) is used as the feature parameter, the Continuous Hidden Markov Model (CHMM) is chosen as the training and recognition model and realized by HTK. This speaker-independent digit recognition is tested on embedded system. The result indicates the accuracy of this system reaches up to 98% to speaker-independent case and it takes 3.55 seconds. The speech recognition is implemented in software, which is easier transplant to different platform and has potential application prospects.


1982 ◽  
Author(s):  
Gary K. Poock ◽  
Norman D. Schwalm ◽  
Ellen F. Roland

2014 ◽  
Vol 36 (1) ◽  
pp. 54-62 ◽  
Author(s):  
Tian-Ying LI ◽  
Lin LIU ◽  
De-Wang ZHAO ◽  
Yuan CAO
Keyword(s):  

Hereditas ◽  
2021 ◽  
Vol 158 (1) ◽  
Author(s):  
Dilare Adi ◽  
Jialin Abuzhalihan ◽  
Jing Tao ◽  
Yun Wu ◽  
Ying-Hong Wang ◽  
...  

Abstract Background Coronary artery disease (CAD) is the leading cause of death worldwide. In this study, we aimed to explore whether some genetic variants of the human IDOL gene were associated with CAD among Chinese population in Xinjiang. Methods We designed two independent case–control studies. The first one included in the Han population (448 CAD patients and 343 controls), and the second one is the Uygur population (304 CAD patients and 318 controls). We genotyped three SNPs (rs2072783, rs2205796, and rs909562) of the IDOL gene. Results Our results revealed that, in the Han female subjects, for rs2205796, the distribution of alleles, dominant model (TT vs. GG + GT) and the additive model (GG + TT vs. GT) showed significant differences between CAD patients and the control subjects (P = 0.048, P = 0.014, and P = 0.032, respectively). Conclusions The rs2205796 polymorphism of the IDOL gene is associated with CAD in the Chinese Han female population in Xinjiang, China.


2020 ◽  
Vol 13 (1) ◽  
pp. 1-26
Author(s):  
Al-Shahna Jamal ◽  
Eli Cahill ◽  
Jeffrey Goeders ◽  
Steven J. E. Wilton
Keyword(s):  

2021 ◽  
Author(s):  
Qun Zhang ◽  
Shilin Wang ◽  
Gongliang Chen

2021 ◽  
Vol 49 (4) ◽  
pp. 030006052110041
Author(s):  
Guiqin Tan ◽  
Xin Wang ◽  
Guangbing Zheng ◽  
Juan Du ◽  
Fangyu Zhou ◽  
...  

Objective This meta-analysis aimed to determine the associations between the rs3761547, rs3761548, and rs3761549 single-nucleotide polymorphisms (SNPs) of the forkhead box P3 ( FOXP3) gene and susceptibility to Graves’ disease (GD). Methods Case–control studies with information on the associations between the rs3761547, rs3761548, and rs3761549 FOXP3 SNPs and GD published before 01 May 2020 were identified in the PubMed, Embase, Web of Science, and China National Knowledge Infrastructure databases. Data from the studies were analyzed using RevMan version 5.3. Results Seven independent case–control studies including 4051 GD patients and 4569 controls were included in the meta-analysis. The overall pooled analysis indicated that FOXP3/rs3761548 and FOXP3/rs3761549 polymorphisms were significantly associated with GD susceptibility (rs3761548: A vs. C, odds ratio [OR] = 1.32, 95% confidence interval [CI] 1.05–1.67; rs3761549: TT vs. CC, OR = 1.98, 95%CI 1.49–2.65; (TT + TC) vs. CC, OR = 1.44, 95%CI 1.11–1.88). In contrast, the FOXP3/rs3761547 polymorphism was not associated with GD susceptibility. Subgroup analysis according to ethnicity showed that rs3761548 was associated with GD in Asians but not in Caucasians, whereas rs3761549 was associated in both Asians and Caucasians. Conclusion This meta-analysis demonstrated that FOXP3/rs3761548 and FOXP3/rs3761549 SNPs were significantly associated with susceptibility to GD, at least in Asian populations.


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