A System Architecture for Spoken Utterance Production in Collaborative Dialogue

نویسندگان

  • Kohji Dohsaka
  • Akira Shimazu
چکیده

This paper presents a system architecture for producing spoken utterances while collaborating with the human dialogue partner in carrying on a spoken dialogue. The system incrementally produces utterances while managing the responses and interruptions from the human dialogue partner that occur in the middle of the system's utterances. The collaborative principles that the system must use in order to collaborate on a spoken dialogue with the human partner are described. These principles are based on the results of an analysis of the nature and interdependence of utterance units, responses from dialogue partners, and discourse strategies for handling responses in a corpus of spoken dialogues. In particular, it is shown that there are cases where the system has to suspend utterances planned in advance and plan additional utterances to maintain the mutual understanding of exchanges even when the partner does not make any responses. The system has been implemented and the e ects of the principles and system architecture have been evaluated in dialogue simulation experiments.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

On-Line Learning of a Persian Spoken Dialogue System Using Real Training Data

The first spoken dialogue system developed for the Persian language is introduced. This is a ticket reservation system with Persian ASR and NLU modules. The focus of the paper is on learning the dialogue management module. In this work, real on-line training data are used during the learning process. For on-line learning, the effect of the variations of discount factor (g) on the learning speed...

متن کامل

On-Line Learning of a Persian Spoken Dialogue System Using Real Training Data

The first spoken dialogue system developed for the Persian language is introduced. This is a ticket reservation system with Persian ASR and NLU modules. The focus of the paper is on learning the dialogue management module. In this work, real on-line training data are used during the learning process. For on-line learning, the effect of the variations of discount factor (g) on the learning speed...

متن کامل

Example-based Speech Intention Understanding and Its Application to In-Car Spoken Dialogue System

This paper proposes a method of speech intention understanding based on dialogue examples. The method uses a spoken dialogue corpus with intention tags to regard the intention of each input utterance as that of the sentence to which it is the most similar in the corpus. The degree of similarity is calculated according to the degree of correspondence in morphemes and dependencies between sentenc...

متن کامل

Construction of Back-Channel Utterance Corpus for Responsive Spoken Dialogue System Development

In spoken dialogues, if a spoken dialogue system does not respond at all during user’s utterances, the user might feel uneasy because the user does not know whether or not the system has recognized the utterances. In particular, back-channel utterances, which the system outputs as voices such as“yeah”and“uh huh”in English have important roles for a driver in in-car speech dialogues because the ...

متن کامل

InproTK in Action: Open-Source Software for Building German-Speaking Incremental Spoken Dialogue Systems

We present INPROTK, a toolkit for building incremental spoken dialogue systems. Incremental spoken dialogue systems (systems that may react while the user’s utterance is ongoing) are a fairly recent research topic and allow for exciting new features. Even though toolkits exist that help in building conventional dialogue systems, INPROTK offers both a tested architecture for building incremental...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1997