Producing Contextually Appropriate Intonation is an Information-State Based Dialogue System

43385

Authors

nan

Abstract

Our goal is to improve the contextual appropriateness of spoken output in a dialogue system. We explore the use of the information state to determine the information structure of system utter- ances. We concentrate on the realiza- tion of information structure by into- nation. We present the results of eval- uating the contextual appropriateness of varied system output produced with a text-to-speech synthesis system that supports intonation annotation. 1

Keywords

nan

Full Content

Producing Contextually Appropriate Intonation in an Information-State Based Dialogue System Ivana Kruijff-Korbayova i Stina Ericsson2 Kepa J. Rodriguez' Elena Karagjosova l 'University of the Saarland, Germany� 2University of Gothenburg, Sweden fkorbay,kepa,elkal@coli.uni - sb.de� stinae@ling.gu.se Abstract Our goal is to improve the contextual appropriateness of spoken output in a dialogue system. We explore the use of the information state to determine the information structure of system utter- ances. We concentrate on the realiza- tion of information structure by into- nation. We present the results of eval- uating the contextual appropriateness of varied system output produced with a text-to-speech synthesis system that supports intonation annotation. 1 Introduction Most commercial spoken dialogue systems use carefully scripted dialogues. This has the advan- tage that the system output can be pre-recorded and have high quality. The disadvantage is lim- ited dialogue flexibility, as user-initiative must be restricted to ensure the dialogue adheres to the script. More flexible dialogues need dynamically produced output. As the range of possible system utterances grows pre-recording becomes infeasi- ble, and speech synthesis becomes necessary. One challenge for systems using synthesized speech is the generation of contextually appro- priate intonation. With dynamically produced output, the same sequence of words may appear in different contexts, possibly needing different intonation. For example, the intonation of an an- swer needs to correspond to the respective ques- tion: whereas in (1S) the nuclear intonation cen- ter has a "default" placement, in (2S) it does not. I (1) U: What is the status of the stove? S: The stove is switched ON. H* LL% (2) U: Which device is switched on? S: The STOVE is switched on. H*� LL% Contextually inappropriate intonation may have negative effect on intelligibility or even lead to confusion; for example, when (1U) is answered with (2S), or (2U) with (1S), a mismatch arises. The details of relating intonation and other as- pects of realization to context are still a research topic. In this paper, we concentrate on one func- tion of intonation, to realize information struc- ture (IS). We consider IS as a level of meaning that unifies a range of interacting contextually- dependent aspects of utterance realization, en- countered in various combinations within and across languages. Determining the IS of system utterances according to context, and producing the corresponding realizations, are thus impor- tant steps in generating natural system output. Outline We show how we improve the spoken output of an information-state based dialogue system by controlling intonation using IS. §2 summarizes related work on controlling in- tonation in context. §3 gives background on IS, 1 We print words bearing a pitch accent in SMALL CAPI- TALS and use the ToBI ("Tones, Breaks and Indices") nota- tion for intonation, cf. http://www.ling.ohio-state.edurtobi/ 227 §4 on the information-state approach to dialogue. §5 presents rules for determining IS from the in- formation state. §6 describes the generation of spoken output with contextually varied intona- tion in our system using two off-the-shelf speech synthesis systems. §7 presents evaluation results. We close with a summary …

Content truncated to 500 words

Labeled Text

Our goal is to improve the contextual appropriateness of spoken output in a dialogue system. We explore the use of the information state to determine the information structure of system utterances. We concentrate on the realization of information structure by intonation. We present the results of evaluating the contextual appropriateness of varied system output produced with a text-to-speech synthesis system that supports intonation annotation. 1

Publication Details

Paper ID:
43385
Year:
2003
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan