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Speech dialogue systems, such as Apple's “Siri,” have gradually become more widespread, and in the near future, a greater number of general users will have the opportunity to communicate with such systems. To facilitate this, it is necessary for the system to communicate more naturally with users, and to realize that both verbal and nonverbal information must be taken into consideration. Therefore,...
Interlocutors, express not only information in the form of spoken words but also their feelings and commitments with regard to what is being said. In face-to-face communication participants interact in such a way that they react to one another's multimodal positioning in the conversation. Often this means that they take a "stance". The goal of this paper is to explore the notion of stance...
Document summarization algorithms are most commonly evaluated according to the intrinsic quality of the summaries they produce. An alternate approach is to examine the extrinsic utility of a summary, measured by the ability of the summary to aid a human in the completion of a specific task. In this paper, we use topic identification as a proxy for relevancy determination in the context of an information...
Natural pitch fluctuations are essential to human singing. To effectively synthesize singing voice, the generation of these pitch fluctuations is necessary. Previous synthesis methods classify and reproduce them individually. These fluctuations, however, are found to be dependent and vary under different contexts. This paper proposes a generalized framework for F0 modelling to learn and generate these...
We review the literatures on human evolution, organizational communication, and CMC, focusing on research addressing CMC support for the transmission of socio-emotional signals, Theory of Mind (ToM), and social capital. We develop a social capital theory of communication in organizations, linking the use of CMC for the transmission of socio-emotional signals with one's ability to develop social capital,...
Cooperative robotic systems, such as unmanned aircraft systems, are becoming technologically mature enough to be integrated into civil society. To gain practical use and acceptance, a verifiable, principled and well-defined foundation for interactions between human operators and autonomous systems is needed. In this paper, we propose and specify such a formally grounded collaboration framework. Collaboration...
Based on the former studies of transferred epithet and Fauconnier and Turner's conceptual integration theory, this paper adopts a cognitive semantic approach to the in-depth analysis of the on-line meaning construction of transferred epithet. This study explores the meaning construction of transferred epithet from a new perspective. It can help the language learners have a better understanding of...
We have created a preliminary inference engine for generating gaze acts based on extracting the social context from conversational structure and timing in human-robot dialog.
This paper describes a development of limited domain expressive speech synthesis for the Czech language. Our current speech synthesis system is based on unit selection methods and produces high quality speech in a neutral speaking style. This work focuses on modifications made in the synthesis algorithm to integrate expressivity into generated speech. There is also introduced a listening test, which...
An intelligent machine will require the ability to converse on any subject: including philosophy. This paper describes how the recent discovery of the four Semantic Categories has made it possible for a machine to analysis any assertion, however convoluted, by means of Semantic Category Analysis: a procedure which provides a basis for future Man/Machine dialogue. Analytical examples discussed include...
One of the technical challenges in the knowledge society is to build a situated intelligent agent that can join our knowledge process to learn and exploit tacit knowledge in a situated fashion. Social intelligence design sheds light on the social context in which agents might take part in our knowledge process where tacit knowledge comes into play. We aim at building a computational framework for...
Speech processing is typically based on a set of complex algorithms requiring many parameters to be specified. When parts of the speech processing chain do not behave as expected, trial and error is often the only way to investigate the reasons. In this paper, we present a research methodology to analyze unexpected algorithmic behavior by making (intermediate) results of the speech processing chain...
In this paper, we present a new approach that incorporates semantic information from a document, in the form of Hierarchical Document Signature (HDS), to measure semantic similarity between sentences. Due to variability of expressions of natural language, it is very essential to exploit the semantic properties of a document to accurately identify semantically similar sentences since sentences conveying...
In spoken dialog, speakers are simultaneously engaged in various mental processes, and it seems likely that the word that will be said next depends, to some extent, on the states of these mental processes. Further, these states can be inferred, to some extent, from properties of the speaker's voice as they change from moment to moment. As a illustration of how to apply these ideas in language modeling,...
Speech contains additional information than text that can be valuable for automatic speech summarization. In this paper, we evaluate how to effectively use acoustic/prosodic features for extractive meeting summarization, and how to integrate prosodic features with lexical and structural information for further improvement. To properly represent prosodic features, we propose different normalization...
In this paper we describe three lines of research related to the issue of helping robots imitate people. These studies are based on observed human behaviour, technical metrics and implemented technical solutions. The three lines of research are: (a) a number of user studies that show how humans naturally tend to demonstrate a task for a robot to learn, (b) a formal approach to tackle the problem of...
Emotion-aware applications supporting natural interaction are currently still a vision. One difficulty in developing these applications is the lack of multimodal corpora suitable for multiple use contexts, such as public spaces. Here, we introduce ElectroEmotion, a research tool prototype for collecting vocal and gestural corpora in novel contexts collaboratively. ElectroEmotion concept includes a...
This paper focuses on resolving a number of issues that appear when the performance of human speech recognition is compared to that of automatic speech recognition. In particular human experimental data suggest that the resulting error is a product of the individual streams. On the other hand, Bayesian combination requires a multiplication of the estimates of prior probabilities and likelihoods. We...
Statistical Spoken Language Understanding grammars (SSLUs) are often used only at the top recognition contexts of modern large-scale spoken dialog systems. We propose to use SSLUs at every recognition context in a dialog system, effectively replacing conventional, manually written grammars. Furthermore, we present a methodology of continuous improvement in which data are collected at every recognition...
It is thought that meaning may be grounded in early childhood language learning via the physical and social interaction of the infant with those around him or her, and that the capacity to use words, phrases and their meaning are acquired through shared referential dasiainferencepsila in pragmatic interactions. In order to create appropriate conditions for language learning by a humanoid robot, it...
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