3,612 research outputs found

    Voice Conversion Based on Cross-Domain Features Using Variational Auto Encoders

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    An effective approach to non-parallel voice conversion (VC) is to utilize deep neural networks (DNNs), specifically variational auto encoders (VAEs), to model the latent structure of speech in an unsupervised manner. A previous study has confirmed the ef- fectiveness of VAE using the STRAIGHT spectra for VC. How- ever, VAE using other types of spectral features such as mel- cepstral coefficients (MCCs), which are related to human per- ception and have been widely used in VC, have not been prop- erly investigated. Instead of using one specific type of spectral feature, it is expected that VAE may benefit from using multi- ple types of spectral features simultaneously, thereby improving the capability of VAE for VC. To this end, we propose a novel VAE framework (called cross-domain VAE, CDVAE) for VC. Specifically, the proposed framework utilizes both STRAIGHT spectra and MCCs by explicitly regularizing multiple objectives in order to constrain the behavior of the learned encoder and de- coder. Experimental results demonstrate that the proposed CD- VAE framework outperforms the conventional VAE framework in terms of subjective tests.Comment: Accepted to ISCSLP 201

    SU(3) symmetry breaking in decay constants and electromagnetic properties of pseudoscalar heavy mesons

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    In this paper, the decay constants and mean square radii of pseudoscalar heavy mesons are studied in the SU(3) symmetry breaking. Within the light-front framework, the ratios fDs/fDf_{D_s}/f_D and fBs/fBf_{B_s}/f_B are individually estimated using the hyperfine splittings in the D(s)∗−D(s)D_{(s)}^*-D_{(s)} and B(s)∗−B(s)B_{(s)}^*-B_{(s)} states and the light quark masses, ms,qm_{s,q} (q=u,dq=u,d), to extract the wave function parameter β\beta. The values fDs/fD=1.29±0.07f_{D_s}/f_D= 1.29\pm0.07 and fBs/fB=1.32±0.08f_{B_s}/f_B= 1.32\pm 0.08 are obtained, which are not only chiefly determined by the ratio of light quark masses ms/mqm_s/m_q, but also insensitive to the heavy quark masses mc,bm_{c,b} and the decay constants fD,Bf_{D,B}. The dependence of fBc/fBf_{B_c}/f_B on ΔMBcBc∗\Delta M_{B_cB^*_c} with the varied charm quark masses is also shown. In addition, the mean square radii are estimated as well. The values =0.740+0.050−0.041\sqrt{} =0.740^{-0.041}_{+0.050} and =0.711+0.058−0.049\sqrt{} =0.711^{-0.049}_{+0.058} are obtained, and the sensitivities of on the heavy and light quark masses are similar to those of the decay constants.Comment: 21 pages, 5 figures, 4 tables, some typos are corrected, version to be published in Phys. Rev.

    Volumetric intensity-modulated Arc (RapidArc) therapy for primary hepatocellular carcinoma: comparison with intensity-modulated radiotherapy and 3-D conformal radiotherapy

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    <p>Abstract</p> <p>Background</p> <p>To compare the RapidArc plan for primary hepatocellular carcinoma (HCC) with 3-D conformal radiotherapy (3DCRT) and intensity-modulated radiotherapy (IMRT) plans using dosimetric analysis.</p> <p>Methods</p> <p>Nine patients with unresectable HCC were enrolled in this study. Dosimetric values for RapidArc, IMRT, and 3DCRT were calculated for total doses of 45~50.4 Gy using 1.8 Gy/day. The parameters included the conformal index (CI), homogeneity index (HI), and hot spot (V<sub>107%</sub>) for the planned target volume (PTV) as well as the monitor units (MUs) for plan efficiency, the mean dose (D<sub>mean</sub>) for the organs at risk (OAR) and the maximal dose at 1% volume (D<sub>1%</sub>) for the spinal cord. The percentage of the normal liver volume receiving ≥ 40, > 30, > 20, and > 10 Gy (V<sub>40 Gy</sub>, V<sub>30 Gy</sub>, V<sub>20 Gy</sub>, and V<sub>10 Gy</sub>) and the normal tissue complication probability (NTCP) were also evaluated to determine liver toxicity.</p> <p>Results</p> <p>All three methods achieved comparable homogeneity for the PTV. RapidArc achieved significantly better CI and V<sub>107% </sub>values than IMRT or 3DCRT (<it>p </it>< 0.05). The MUs were significantly lower for RapidArc (323.8 ± 60.7) and 3DCRT (322.3 ± 28.6) than for IMRT (1165.4 ± 170.7) (<it>p </it>< 0.001). IMRT achieved a significantly lower D<sub>mean </sub>of the normal liver than did 3DCRT or RapidArc (<it>p </it>= 0.001). 3DCRT had higher V<sub>40 Gy </sub>and V<sub>30 Gy </sub>values for the normal liver than did RapidArc or IMRT. Although the V<sub>10 Gy </sub>to the normal liver was higher with RapidArc (75.8 ± 13.1%) than with 3DCRT or IMRT (60.5 ± 10.2% and 57.2 ± 10.0%, respectively; <it>p </it>< 0.01), the NTCP did not differ significantly between RapidArc (4.38 ± 2.69) and IMRT (3.98 ± 3.00) and both were better than 3DCRT (7.57 ± 4.36) (<it>p </it>= 0.02).</p> <p>Conclusions</p> <p>RapidArc provided favorable tumor coverage compared with IMRT or 3DCRT, but RapidArc is not superior to IMRT in terms of liver protection. Further studies are needed to establish treatment outcome differences between the three approaches.</p

    Design of Dynamic Frequency Divider Using Negative Differential Resistance Circuit

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    The behavior of two frequency divider circuits using negative differential resistance (NDR) circuit is studied. This NDR circuit is made of three resistors (R) and two bipolar-junction-transistor (BJT) devices. It can show the NDR characteristic in its current-voltage curve by suitably designing the resistances. We discuss a dynamic frequency divider, which is made of a R-BJT-NDR circuit, an inductor, and a capacitor. This frequency divider circuit is based on the long-period behavior of the nonlinear NDR circuits generating chaos. It demonstrates the period-adding sequences which appear in its bifurcation diagram to perform the frequency division. We investigate the effects of the input signal frequency on the operation. The results show that the dividing ratio can be selected by changing the input frequency. We also discuss the effect of inputting different types of signals with the same frequency on the operation of this frequency divider. The results show that the input signal distortion has a negligible influence on the frequency divider state. DOI: 10.17762/ijritcc2321-8169.15083

    Influence of Socioeconomic Factors, Gender and Indigenous Status on Smoking in Taiwan.

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    The indigenous Austronesian minority of Taiwan is heavily affected by health disparities which may include suffering from a greater burden of the tobacco epidemic. While a lack of representative data has historically precluded an investigation of the differences in smoking between Taiwanese ethnicities, these data have recently become available through an annual population-based telephone survey conducted by the Health Promotion Administration, Ministry of Health and Welfare (previously known as the Bureau of Health Promotion (BHP), Department of Health). We used the BHP monitoring data to observe the prevalence of smoking and environmental tobacco smoke exposure among indigenous and non-indigenous Taiwanese surrounding a tobacco welfare tax increase in 2006, investigate ethnic differences in smoking prevalence and environmental tobacco smoke exposure each year between 2005 and 2008, and perform multiple logistic regression to estimate measures of association between potential risk factors and smoking status. Despite significant ethnic and gender differences in smoking prevalence, smoking status was not found to be significantly associated with ethnicity after controlling for socioeconomic and demographic factors
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