基于基音同步帧叠接的吴语语音合成

吴语语音和普通话一样,也是由声母、韵母和声调这三个要素构成。语音的平稳段存在于韵母中,波形具有周期性,周期的变化趋势决定语音的声调;非平稳段包括声母、过渡音和鼻音。根据这些特点,提出了一种利用基音同步帧和声调曲线来合成语音的新方法PSFC,并用该方法合成吴方言。实验表明,该方法简单实用,合成语音有较好的自然度和可懂度。     

"Temporal encoding in fear conditioning revealed through associative reflex facilitation": Correction to Lindquist and Brown (2004).

Reports an error in "Temporal Encoding in Fear Conditioning Revealed Through Associative Reflex Facilitation" by Derick H. Lindquist and Thomas H. Brown (Behavioral Neuroscience, 2004[Apr], Vol 118[2], 395-402). The article contained several errors. On page 396, second paragraph, the sentence beginning on line 6 should read as follows: "Having a stable baseline is critical for studies of reflex facilitation because the experimental designs invariably entail repetitive CR testing, if only to achieve reasonable statistical power (see Choi et al., 2001b; Lindquist & Brown, 2004)." On page 400, the first heading should read as follows: "Comparison of New and Old Reflex Facilitation Procedures." On page 400, the first sentence under the abovementioned heading should read as follows: "We decided not to use the original measure of reflex facilitation, developed by J. S. Brown et al. (1951), because it suffers from severe interpretational limitations, elaborated in detail elsewhere (Choi et al., 2001b; Leaton & Cranney, 1990; Lindquist & Brown, 2004)." (The following abstract of the original article appeared in record 2004-12681-016.) Temporal encoding in Pavlovian fear conditioning was examined through conditional facilitation of the short-latency (Rl) component of the rat eyeblink reflex. Rats were fear-conditioned to a tone conditional stimulus (CS) with either a 3- or 9-s interstimulus interval (ISI) between CS onset and the onset of the grid-shock unconditional stimulus (US). Rl facilitation was tested over 2 days, in counterbalanced order, at a latency of 3 s and 9 s from CS onset. CS-produced Rl facilitation, the conditional response (CR), was 3-4 times larger when the test latency equaled the conditioning ISI. These results, coupled with the known neurophysiology of Rl facilitation, suggest that this CR could disclose differences in the time course of CS-generated output from the amygdala when driven by cortical versus subcortical CS-CR pathways. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

一种高动态范围图像可视化算法*

提出的自适应HDR图像可视化算法中,输入图像被分解为基本层和细节层.该算法将整体明暗效果的显示看做整体问题,对表示亮度的基本层采用基于整体统计信息的直方图调整算法处理;可视细节信息的保持作为局部问题,算法采用自适应细节增强算法处理细节层.通过定义映射图对细节增强后的图像进行最终映射,将两方面结合起来得到最终结果.实验结果表明,该算法能对HDR图像进行较高视觉质量的显示.     

基于GPU的快速色阶映射算子实现

为了提高色阶映射计算的效率,设计了基于GPU的快速色阶映射算法.首先结合基本规约算法和GPU的并行运算特征设计了基于两个核函数的最大亮度计算方法,然后通过区域中间值共享计算以像素为中心的区域平均亮度,最后针对视屏处理,提出利用纹理缓存池解决CPU读数据和GPU处理数据速度不匹配的问题,并根据像素子集最大亮度自适应地更新全局最大亮度.实验结果相对相同算法的CPU实现得到了4～5倍的速度提升,表明所提出的算法能够充分利用GPU的并行性,并减少了大量重复运算,满足实时渲染的要求,并且对不同规模的纹理具有良好的适应性.     

《论语》中虚词“也”用法考察

虚词"也"在《论语》中共出现519次(依张玲、康风琴合编的《论语》统计而得)。就词类而言,主要分为语气词、助词(具体而言为语气助词)两种;就在句子中出现的位置而言,主要分为句中、句尾两种;就具体的句子而言,主要用于肯定句、否定句、疑问句、反问句等各类句子中。"窥一斑而见全身"——仅此一个"也"字就可以让我们领略《论语》高深的语言艺术。     

《广韵》入声字在云南蒙自方言中读音的演变

以中古入声字在蒙自方言中的读音为研究对象,研究中发现蒙自方言入声字在演变过程中和普通话走的道路不同,普通话的演变规律是“平分阴阳,入派三声”,而蒙自方言则把大部分入声字归入阳平,归入另外三声的仅有少量鼻音韵尾的字。     

交会对接仿真电视图像TMO算法主观评价

通过对实时渲染仿真交会对接电视图像的主观评价,指出调和映射处理(TMO)算法的修正是提高仿真场景逼真度的方法.基于交会对接仿真电视图像TMO算法应用,分别针对S-curve算法、自适应对数算法和Reinhard算法设计了基于静态图像对比的亮度调和因子评价实验和基于动态场景对比的算法应用距离段评价实验,并对实验结果的均值、标准差以及HSD值进行了计算与分析;上述3种算法亮度调和因子分别为6.0,0.6和2.2,依次应用于远距离,中、近距离和靠拢距离时仿真电视图像有最佳评价和显示效果.实验结果表明,采用同种TMO算法处理的交会对接仿真图像动态场景真实感效果优于静态图像;在交会对接不同距离段内,仿真场景需要采用不同的TMO渲染方法.     

Rendering of HDR images to improve brightness discrimination

The impression of quality of images can be enhanced on a high dynamic range (HDR) displays. Generally, a conventional 8‐bit image can be processed to an HDR image by inverse tone mapping operators. Among the operators, brightness discrimination mapping by applying brightness adaptation model attempted to mimic the human visual system. In this paper, we use a brightness adaptation model to derive a brightness discrimination mapping algorithm for HDR displays. The proposed algorithm maximizes a function, which represents the local and global brightness discrimination range by exploiting characteristics of the human visual system. Enhancement of details is verified by visualizing HDR images from dark to bright regions. Improvement of dynamic range is quantified by measuring increased discrimination ratio.     

基于普适计算的交互汉语学习系统

普适计算是一种正在兴起的新型的计算模式,其“无处不在,以人为本”的理念使得普适计算在许多领域的应用中都有着巨大的潜力。本文综合应用语音识别、声调识别、软交换、文语转换、语音邮件等多种技术,使用以人为中心的普适计算系统模型（HPC）和分层结构分析与设计方法（LAAD）,设计并实现了一个基于普适计算的交互汉语学习系统,该系统能够计算出汉语学习者发音的准确度和声调的准确度,并通过普适服务平台提供实时交互、学习情况自动收集等普适服务,为学习者建立起了一个良好的汉语学习环境,帮助他们高效、便捷地学习汉语。     

DRBR-HDR: Dual-Branch recursive band reconstruction network for HDR with large motions

Ghosting artifacts due to misaligned imaging and missing content of the moving regions are major challenges of synthesizing high dynamic range (HDR) images from multiple low-dynamic range (LDR) with different exposures in dynamic scenes. Therefore, it hopes the HDR reconstruction model can align the LDRs’ features and restore the missing content without artifacts. In the paper, a new dual-branch recursive band reconstruction network for high dynamic range (DRBR-HDR) is proposed to generate credible result in missing content regions, which not only uses global features as supplementary information to help local features from different receptive fields for efficient feature alignment but also designs a series of coarse-to-fine band representation to better repair missing areas in the process of recursion. In addition, we introduce an interactive attention mechanism for local branches to alleviate ghosting artifacts. The experimental results demonstrate that DRBR-HDR achieves state-of-the-art performance compared with that of the prevailing HDR reconstruction methods in various challenging scenes.Index Terms—inverse tone mapping, band reconstruction, global features, high dynamic range images.