Fully generated scripted dialogue for embodied agents

This paper presents the NECA approach to the generation of dialogues between Embodied Conversational Agents (ECAs). This approach consist of the automated construction of an abstract script for an entire dialogue (cast in terms of dialogue acts), which is incrementally enhanced by a series of modules and finally ''performed'' by means of text, speech and body language, by a cast of ECAs. The approach makes it possible to automatically produce a large variety of highly expressive dialogues, some of whose essential properties are under the control of a user. The paper discusses the advantages and disadvantages of NECA's approach to Fully Generated Scripted Dialogue (FGSD), and explains the main techniques used in the two demonstrators that were built. The paper can be read as a survey of issues and techniques in the construction of ECAs, focusing on the generation of behaviour (i.e., focusing on information presentation) rather than on interpretation

Automating the production of communicative gestures in embodied characters

In this paper we highlight the different challenges in modeling communicative gestures for Embodied Conversational Agents (ECAs). We describe models whose aim is to capture and understand the specific characteristics of communicative gestures in order to envision how an automatic communicative gesture production mechanism could be built. The work is inspired by research on how human gesture characteristics (e.g., shape of the hand, movement, orientation and timing with respect to the speech) convey meaning. We present approaches to computing where to place a gesture, which shape the gesture takes and how gesture shapes evolve through time. We focus on a particular model based on theoretical frameworks on metaphors and embodied cognition that argue that people can represent, reason about and convey abstract concepts using physical representations and processes, which can be conveyed through physical gestures

Accentuation and deaccentuation in Russian – a functional account

The present article is a functional analysis of intonation in Russian declarative utterances. Pragmatically relevant tonal patterns and their functions are identified and described. Utterances are analysed in terms of theme and rheme. Theme is signalled by a tonal rise and rheme by a falling tonal gesture. Beside thematic and rhematic tonal gestures, other rising accents in the utterance are identified. My claim is that they are important in maintaining balance in prominence in neutral utterances and that they are obligatory parts of a narrative speech style. They are named rhythmical accents. A distinction between three pitch intervals is useful in generating pitch accents with different functions. De¬accentuation is a marked feature of non-neutral utterances with focus. Three types of hat patterns with connective function are recognised

The listening talker: A review of human and algorithmic context-induced modifications of speech

International audienceSpeech output technology is finding widespread application, including in scenarios where intelligibility might be compromised - at least for some listeners - by adverse conditions. Unlike most current algorithms, talkers continually adapt their speech patterns as a response to the immediate context of spoken communication, where the type of interlocutor and the environment are the dominant situational factors influencing speech production. Observations of talker behaviour can motivate the design of more robust speech output algorithms. Starting with a listener-oriented categorisation of possible goals for speech modification, this review article summarises the extensive set of behavioural findings related to human speech modification, identifies which factors appear to be beneficial, and goes on to examine previous computational attempts to improve intelligibility in noise. The review concludes by tabulating 46 speech modifications, many of which have yet to be perceptually or algorithmically evaluated. Consequently, the review provides a roadmap for future work in improving the robustness of speech output

Articulation in time : Some word-initial segments in Swedish

Speech is both dynamic and distinctive at the same time. This implies a certain contradiction which has entertained researchers in phonetics and phonology for decades. The present dissertation assumes that articulation behaves as a function of time, and that we can find phonological structures in the dynamical systems. EMA is used to measure mechanical movements in Swedish speakers. The results show that tonal context affects articulatory coordination. Acceleration seems to divide the movements of the jaw and lips into intervals of postures and active movements. These intervals are affected differently by the tonal context. Furthermore, a bilabial consonant is shorter if the next consonant is also made with the lips. A hypothesis of a correlation between acoustic segment duration and acceleration is presented. The dissertation highlights the importance of time for how speech ultimately sounds. Particularly significant is the combination of articulatory timing and articulatory duration

A Study of Prosodic Entrainment and Social Factors in Mandarin Conversations

In conversations, interlocutors usually adopt prosody to that of their partner, and they become similar in prosodic production for successful communication. This phenomenon of prosodic entrainment is related to complex factors. This study aims to explore the relationship between prosodic entrainment and social factors. Two analyses are accomplished: the analysis of prosodic entrainment and gender, and the analysis of prosodic entrainment and role. In terms of prosodic entrainment and gender, it is found that the most prosodic features are entrained in female-male conversations, and the least in male-male conversations. In terms of prosodic entrainment and roles, it is found that different roles have influence on the entrainment degree, and information givers entrain more to followers in conversation

Spoken Language Interaction with Robots: Recommendations for Future Research

With robotics rapidly advancing, more effective human–robot interaction is increasingly needed to realize the full potential of robots for society. While spoken language must be part of the solution, our ability to provide spoken language interaction capabilities is still very limited. In this article, based on the report of an interdisciplinary workshop convened by the National Science Foundation, we identify key scientific and engineering advances needed to enable effective spoken language interaction with robotics. We make 25 recommendations, involving eight general themes: putting human needs first, better modeling the social and interactive aspects of language, improving robustness, creating new methods for rapid adaptation, better integrating speech and language with other communication modalities, giving speech and language components access to rich representations of the robot’s current knowledge and state, making all components operate in real time, and improving research infrastructure and resources. Research and development that prioritizes these topics will, we believe, provide a solid foundation for the creation of speech-capable robots that are easy and effective for humans to work with