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2008 Second International Symposium on Universal Communication最新文献

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Indoor Emergency Evacuation Service on Autonomous Navigation System using Mobile Phone 基于手机自主导航系统的室内紧急疏散服务
Pub Date : 2008-12-15 DOI: 10.1109/ISUC.2008.49
Y. Inoue, A. Sashima, T. Ikeda, K. Kurumatani
Two difficult problems pertain to selection of an evacuation route according to each individual¿s situation. One is constant supervision of the situation of a living space and detection of dangerous situa-tions; the other is detection of residents' respective positions. In this paper, we describe devices and systems for an indoor emergency evacuation using a mobile terminal such as a cell phone or PDA for indoor navigation. The navigation system functions autonomously: the user¿s device receives wireless beacon signals from the surrounding environment and can thereby detect a user¿s position by a mobile terminal independently. In fact, no server-side computation is necessary. Moreover, the system is applicable to an indoor emergency evacuation system using various sensors. The emergency system navigates people to safety in the wake of a disaster. A system must detect all residents' positions and then inform them individu-ally of routes to safety to evacuate all residents to a safe space urgently. We have developed a feasible indoor navigation system that can solve various problems arising in the application layer.
两个难题涉及到根据每个人的情况选择疏散路线。一是不断监督生活空间的情况并发现危险情况;二是检测居民各自的位置。在本文中,我们描述了使用移动终端(如手机或PDA)进行室内导航的室内紧急疏散设备和系统。导航系统自主工作:用户的设备接收来自周围环境的无线信标信号,从而可以通过移动终端独立检测用户的位置。实际上,不需要服务器端计算。此外,该系统还适用于多种传感器组成的室内紧急疏散系统。灾难发生后,应急系统将人们引向安全地带。系统必须探测到所有居民的位置,然后通知他们每个人的安全路线,以便紧急将所有居民疏散到安全的地方。我们开发了一个可行的室内导航系统,可以解决应用层出现的各种问题。
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引用次数: 76
Analysis by Synthesis of Embodied Communication via VirtualActor with a Nodding Response Model 基于点头响应模型的虚拟演员具身交际综合分析
Pub Date : 2008-12-15 DOI: 10.1109/ISUC.2008.71
Yoshihiro Sejima, Tomio Watanabe, Michiya Yamamoto
In this study, we develop the embodied virtual communication system with the speech-driven nodding response model for the analysis by synthesis of embodied communication. Using the proposed system in embodied virtual communication, we perform experiments and carry out sensory evaluation and voice-motion analysis to demonstrate the effects of nodding responses on a talker's avatar called VirtualActor. The result of the study shows that superimposed nodding responses in a virtual .space promote communication.
本研究通过对具身交际的综合分析,开发了基于言语驱动的点头响应模型的具身虚拟交际系统。利用所提出的系统在具身虚拟通信中,我们进行了实验,并进行了感官评估和语音运动分析,以证明点头响应对说话者虚拟角色VirtualActor的影响。研究结果表明,虚拟空间中重叠的点头反应促进了交流。
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引用次数: 16
Enhanced Multiple Local Ray-spaces Method for Walk-through View Synthesis 增强的多局部光线空间方法用于遍历视图合成
Pub Date : 2008-12-15 DOI: 10.1109/ISUC.2008.12
M. P. Tehrani, A. Ishikawa, S. Sakazawa, A. Koike
In this paper, we propose geometry based image-based rendering method for sparse multicamera system using multiple local ray-space representation and 3D model generation. In this system, the quality of walk-through view experience is impaired by inaccurate camera parameters and 3D model. In order to eliminate these affects, we enhance the reconstructed local ray-spaces using stereo matching approach. Hence, free viewpoint rendering quality is improved significantly for walk-through image synthesis. Experimental results for several multiview sequences verify the effectiveness of our approach.
在本文中,我们提出了基于几何的稀疏多相机系统的基于图像的绘制方法,该方法使用多个局部光线空间表示和三维模型生成。在该系统中,由于相机参数和三维模型的不准确,影响了漫游视图体验的质量。为了消除这些影响,我们使用立体匹配方法增强重建的局部光线空间。因此,在漫游图像合成中,自由视点渲染质量得到了显著提高。多个多视图序列的实验结果验证了该方法的有效性。
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引用次数: 0
Dialogue Act Annotation for Statistically Managed Spoken Dialogue Systems 统计管理口语对话系统的对话行为注释
Pub Date : 2008-12-15 DOI: 10.1109/ISUC.2008.52
Kiyonori Ohtake, Teruhisa Misu, Chiori Hori, H. Kashioka, Satoshi Nakamura
This paper uses the Kyoto tour guide dialogue corpus and its annotations to construct a dialogue management system by employing a statistical approach. We defined dialogue act (DA) tags to express a user's intention. Two kinds of tag sets can be used to annotate the corpus. One denotes a communicative function (speech act), and the other denotes the semantic content of an utterance. We have annotated the speech act tags in our corpus using several annotators. We evaluate the annotation results by measuring the agreement ratios between the annotators.
本文利用京都导游对话语料库及其注释,采用统计方法构建了一个对话管理系统。我们定义了对话行为(DA)标签来表达用户的意图。可以使用两种标记集对语料库进行注释。一个表示交际功能(言语行为),另一个表示话语的语义内容。我们使用几个注释器对语料库中的语音行为标签进行了注释。我们通过测量注释者之间的一致性比率来评估注释结果。
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引用次数: 1
An Experimental System to Analyze or Synthesize Baby's Emotional Voice using the Varidation of Pitch Frequencies 利用音高频率变化分析或合成婴儿情绪声音的实验系统
Pub Date : 2008-12-15 DOI: 10.1109/ISUC.2008.57
Chikahiro Araki, Shin-ichiro Hashimukai, Satoshi Motomani, Mikio Mori, S. Taniguchi, Shozo Kato, Yasuhiro Ogoshi
It has been expected to utlize the technology of speech recognition and speech synthesis in order to improve the human interface. However, it is a difficult problem to extract and analyze emotional information contained in human voice in speech recognition and speech synthesis. This paper describes an experimental system to analyze and synthesize baby's emotional voice using the perturbation parameters of pitch frequencies in order to improve human interface. The system is composed of three parts: the first part is to record and analyze the voice and to indicate the perturbation of pitch frequencies in real-time. The next part is to evaluate four perturbation parameters of pitch frequency for baby's voice. Finally, baby's voice is synthesized using 2-mass model of vocal cords vibration. From the experiment of several baby's voices, it is shown that the proposed method is useful to analyze and synthesize baby's emotional voice.
人们期望利用语音识别和语音合成技术来改善人机界面。然而,在语音识别和语音合成中,如何提取和分析人类语音中包含的情感信息是一个难题。本文介绍了一种利用音高频率扰动参数分析和合成婴儿情绪语音的实验系统,以改善人机界面。该系统由三部分组成:第一部分是对声音进行记录和分析,并实时显示音高频率的扰动。下一部分是评估婴儿声音的音高频率的四个扰动参数。最后,利用声带振动的2质量模型对婴儿的声音进行合成。通过对几个婴儿声音的实验,证明了该方法对分析和综合婴儿的情绪声音是有效的。
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引用次数: 0
Quantitative Evaluation of Reconstructed Images of Parallel Phase-Shifting Digital Holographies 平行移相数字全息重建图像的定量评价
Pub Date : 2008-12-15 DOI: 10.1109/ISUC.2008.26
T. Tahara, Y. Awatsuji, K. Nishio, S. Ura, T. Kubota, O. Matoba
Parallel phase-shifting digital holography is a technique capable of instantaneous three-dimensional measurement and can simultaneously obtain the holograms required for phase-shifting digital holography. The number of phase shifts of the reference wave in holography is inversely proportional to the number of pixels per each hologram in the technique. The authors quantitatively evaluated the quality of the images reconstructed by the three kinds of the technique in terms of the number of phase shifts. The techniques were numerically simulated and mean square errors between the object image and the reconstructed images were calculated. It was found that higher quality image is attained by smaller number of phase shifts of reference wave in the technique. This is because the smaller the number of phase shifts is, the shorter the sampling interval of spatial frequency per each hologram is, and the more detailed information of object can be reconstructed.
平行移相数字全息技术是一种瞬时三维测量技术,可以同时获得移相数字全息所需的全息图。全息术中参考波的相移数与该技术中每个全息图的像素数成反比。从相移次数的角度定量评价了三种技术重建图像的质量。对这些方法进行了数值模拟,并计算了目标图像与重建图像之间的均方误差。实验结果表明,该技术中参考波的相移次数越少,成像质量越高。这是因为相移次数越小,每幅全息图的空间频率采样间隔越短,可以重构出更详细的物体信息。
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引用次数: 1
TORISHIKI-KAI, An Autogenerated Web Search Directory 一个自动生成的网络搜索目录
Pub Date : 2008-12-15 DOI: 10.1109/ISUC.2008.70
Kentaro Torisawa, Stijn De Saeger, Yasunori Kakizawa, Jun'ichi Kazama, M. Murata, Daisuke Noguchi, Asuka Sumida
With this research we present a system that suggests valuable complementary information relevant to a user's topic of interest, in the form of keywords. For this purpose we have automatically constructed a Web search directory called TORISHIKI-KAI from a large collection of Web documents, using state of the art knowledge acquisition methods. TORISHIKI-KAI maps out the use context of the terms input by the user, and classifies topically related search terms according to semantic categories such as potential troubles, methods or tools in order to help the user find potentially valuable "unknown unknowns".
通过这项研究,我们提出了一个系统,以关键字的形式建议与用户感兴趣的主题相关的有价值的补充信息。为此,我们使用最先进的知识获取方法,从大量Web文档中自动构建了一个名为TORISHIKI-KAI的Web搜索目录。TORISHIKI-KAI绘制出用户输入的术语的使用上下文,并根据语义类别(如潜在的麻烦、方法或工具)对主题相关的搜索术语进行分类,以帮助用户找到潜在有价值的“未知的未知”。
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引用次数: 14
Sign Language Recognition Based on Position and Movement Using Multi-Stream HMM 基于位置和运动的多流HMM手语识别
Pub Date : 2008-12-15 DOI: 10.1109/ISUC.2008.56
Masaru Maebatake, Iori Suzuki, M. Nishida, Y. Horiuchi, S. Kuroiwa
In sign language, hand positions and movements represent meaning of words. Hence, we have been developing sign language recognition methods using both of hand positions and movements. However, in the previous studies, each feature has same weight to calculate the probability for the recognition. In this study, we propose a sign language recognition method by using a multi-stream HMM technique to show the importance of position and movement information for the sign language recognition. We conducted recognition experiments using 21,960 sign language word data. As a result, 75. 6% recognition accuracy was obtained with the appropriate weight (position:movement=0. 2:0. 8), while 70. 6% was obtained with the same weight. From the result, we can conclude that the hand movement is more important for the sign language recognition than the hand position. In addition, we conducted experiments to discuss the optimal number of the states and mixtures and the best accuracy was obtained by the 15 states and two mixtures for each word HMM.
在手语中,手的位置和动作代表了单词的意思。因此,我们一直在开发同时使用手部位置和动作的手语识别方法。然而,在以往的研究中,每个特征都有相同的权重来计算识别的概率。在这项研究中,我们提出了一种使用多流HMM技术的手语识别方法,以显示位置和运动信息对手语识别的重要性。我们使用21,960个手语单词数据进行了识别实验。结果是75。选择合适的权重(位置:运动=0),识别准确率达到6%。2:0。8),而70;在相同重量下得到6%。从结果可以看出,手的动作比手的位置对手语识别更重要。此外,我们进行了实验,讨论了状态和混合的最优数量,每个单词HMM的15个状态和两种混合获得了最好的精度。
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引用次数: 43
Real Time Posture Estimation of Human Hand for Robot Hand Interface 面向机械手界面的人手实时姿态估计
Pub Date : 2008-12-15 DOI: 10.1109/ISUC.2008.30
Takanobu Tanimoto, K. Hoshino
The authors propose a hand posture estimation system in real time and with high accuracy, for robot hand control and human interface with hand motions without no sensors attached to the users. This method searches the similar image quickly from a large volume of previously-sorted image database which contains complicated shapes and self-occlusions of the human hand. Because the system doesn¿t need any special peripheral equipment such as range sensor and PC cluster, and works with a note PC using a single high-speed camera, the user can control and make a dexterous robot hand behave as he/she does, and use the system as an information input device by moving his/her hand and fingers.
作者提出了一种实时、高精度的手部姿态估计系统,用于机器人手部控制和人机界面,无需用户附加传感器。该方法从大量先前排序的图像数据库中快速搜索到相似的图像,这些图像数据库中包含复杂的手部形状和自遮挡。由于该系统不需要任何特殊的外围设备,如距离传感器和PC集群,并与使用单个高速摄像头的笔记PC一起工作,用户可以通过移动自己的手和手指来控制并使灵巧的机器人手表现出自己的行为,并将系统用作信息输入设备。
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引用次数: 2
Using Statistical Machine Translation to Grade Training Data 使用统计机器翻译对训练数据进行分级
Pub Date : 2008-12-15 DOI: 10.1109/ISUC.2008.20
A. Finch, E. Sumita
One of the main causes of errors in statistical machine translation are the erroneous phrase pairs that can find their way into the phrase table. These phrases are the result of poor word-to-word alignments during the training of the translation model. These word alignment errors in turn cause errors during the phrase extraction phase, and these erroneous bilingual phrase pairs are then used during the decoding process and appear in the output of the machine translation system. Machine translation training data is never perfect, often bilingual sentence pairs are incorrectly aligned sentence-by-sentence, or these pairs are poor translations of each other due to human error. Even when sentence pairs in the corpus are good translations of each other the translations may not be literal enough to admit to the sort of phrase-by-phrase translation necessary to make good training data for a phrase-based statistical machine translation (SMT) system. This is because such SMT systems operate on the assumption that source can be transformed into target simply by translating phrase-by-phrase with re-ordering. In the real world, many perfectly correct translations are not of this form, and these sentences even though correct translations, make poor training data for training the translation models of a phrase-based SMT system. This paper presents a technique in which preliminary machine translation systems are built with the sole purpose of indicating those sentence pairs in the training corpus that the systems are able to generate using their models, the hypothesis being that these sentence pairs are likely to make good training data for an SMT system of the same type. These sentences are then used to bootstrap a second SMT system, and those sentences identified as good training data are given additional weight during the training process for building the translation models. Using this technique we were able to improve the performance of a Japanese-to-English SMT system by 1.2-1.5 BLEU points on unseen evaluation data.
统计机器翻译错误的主要原因之一是错误的短语对可以进入短语表。这些短语是翻译模型训练过程中单词对单词对齐不良的结果。这些词对齐错误反过来又导致短语提取阶段的错误,然后这些错误的双语短语对在解码过程中被使用,并出现在机器翻译系统的输出中。机器翻译训练数据从来都不是完美的,通常双语句子对一句一句地不正确对齐,或者由于人为错误,这些对彼此的翻译很差。即使语料库中的句子对彼此翻译得很好,翻译也可能不够逐句翻译,无法为基于短语的统计机器翻译(SMT)系统提供良好的训练数据。这是因为这种SMT系统是基于这样一种假设,即只要逐句翻译并重新排序,就可以将源转换为目标。在现实世界中,许多完全正确的翻译不是这种形式,这些句子即使是正确的翻译,对于训练基于短语的SMT系统的翻译模型来说,也是很差的训练数据。本文提出了一种技术,在这种技术中,初步的机器翻译系统建立的唯一目的是指示系统能够使用其模型生成的训练语料库中的句子对,假设这些句子对可能为相同类型的SMT系统提供良好的训练数据。然后使用这些句子来引导第二个SMT系统,在构建翻译模型的训练过程中,那些被识别为良好训练数据的句子被赋予额外的权重。使用这种技术,我们能够在未见过的评估数据上将日语到英语的SMT系统的性能提高1.2-1.5 BLEU点。
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引用次数: 3
期刊
2008 Second International Symposium on Universal Communication
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