Speech-based conversation environment for dynamic knowledge interaction
نویسندگان
چکیده
We propose a speech-based conversation environment called Voice Cafe for facilitating dynamic knowledge interaction. Dynamic knowledge interaction is a key concept for creative interaction. Conversation is one of important interactions that facilitates dynamic knowledge interaction. In Voice Cafe, users can talk with conversational agents being equipped with automatic speech recognition (ASR) and text-to-speech (TTS) systems. Users can listen to a conversation between agents, and join in their conversation by speech interaction. Design concepts and an overview of Voice Cafe are described.
منابع مشابه
A Conversation Analytic Study on the Teachers’ Management of Understanding-Check Question Sequences in EFL Classrooms
Teacher questions are claimed to be constitutive of classroom interaction because of their crucial role both in the construction of knowledge and the organization of classroom proceedings (Dalton Puffer, 2007). Most of previous research on teachers’ questions mainly focused on identifying and discovering different question types believed to be helpful in creating the opportunities for learners’...
متن کاملCOOL: A Language for Describing Coordination in Multi Agent Systems
Agent interaction takes place at several levels. Current work in the ARPA Knowledge Sharing Effort has addressed the information content level by the KIF language and the intentional level by the KQML language. In this paper we address the coordination level by means of our Coordination Language (COOL) that relies on speech act based communication, but integrates it in a structured conversation...
متن کاملA Comparison between Three Methods of Language Sampling: Freeplay, Narrative Speech and Conversation
Objectives: The spontaneous language sample analysis is an important part of the language assessment protocol. Language samples give us useful information about how children use language in the natural situations of daily life. The purpose of this study was to compare Conversation, Freeplay, and narrative speech in aspects of Mean Length of Utterance (MLU), Type-token ratio (TTR), and the numbe...
متن کاملUser Language Behavior, Domain Knowledge, and Conversation Context in Automatic Word Acquisition for Situated Dialogue in a Virtual World
To tackle the vocabulary problem in conversational systems, previous work has applied unsupervised learning approaches on co-occurring speech and eye gaze during interaction to automatically acquire new words. Although these approaches have shown promise, several issues related to human language behavior and human-machine conversation have not been addressed. First, psycholinguistic studies hav...
متن کاملHandshaking Mechanism for Conversation Policy Agreements in Dynamic Agent Environment
Utilizing conversation policies, also called as interaction protocols, is one of the various efforts that have been devoted to the improvement of agent interoperability. The research on conversation policies so far has focused on developing conversation policy models and standard conversation policies. However, in a dynamic agent society where new agents can be introduced and transaction sequen...
متن کامل