Development of corpus-based technologies for robust spoken dialogue systems

开发基于语料库的强大口语对话系统技术

基本信息

批准号：
15300045
负责人：
KAWAGUCHI Nobuo
金额：
$ 10.3万
依托单位：
Nagoya University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2005
项目状态：
已结题

项目摘要

We have developed a technique for dialogue proceesing of utilizing human conversation examples for aiming at the achievement of user-friendly dialogue systems. This method executes most of the modules such as speech understanding, speech generation, and speech planning in a data-driven manner. To use the real dialogue examples as data made the system become possible the following functions : the robust speech understanding byusing a similar case, the human-like spontaneous speech output bynatural expressions, and the extension of the dialogue system by adding the examples, as shown in the below :(1) Construction of the dialogue examples and their utilization : The large-scale dialogue database was constructed as a data for which the conversation system was able to be used immediately. The CIAIR in-car speech dialogue corpus was used as target data. The tags for morpheme analysis, syntactic analysis, and speech-act analysis, etc.were given to the utterance units.(2) The development of a … More technique for robust speech understanding : The technique for dialogue understanding was developed for information retrieval domain. This is based on the idea of choosing the most similar sentence to the input utterance sentence from among the spoken dialogue corpus, and regarding the intention of the input utterance sentence as the intention given to the sentence. Actually, the method of measuring the similarity between the utterance sentence and the utterance sentence was designed as a similarity calculation method of using information on the morpheme, the syntax, the key word, the end of sentence form, and the context, etc.(3) Implementation of the speech dialogue system : The example-based dialogue processing was designed, and implemented as a system of the restaurant guide in the running car. The entire system is composed of the speech understanding, the dialogue control, the speech generation, and the examples database. The effectiveness and realizability of our spoken dialogue processing technique were confirmed by the experiments. Less

我们开发了一种人类对话示例的对话处理技术，旨在实现用户友好的对话系统，该方法以数据驱动的方式执行大部分模块，例如语音理解、语音生成和语音规划。使用真实的对话实例作为数据，使得系统能够实现以下功能：使用相似的案例实现鲁棒的语音理解，通过自然表达输出类似人类的自发语音，通过添加实例来扩展对话系统，如图所示如下：（一）建设对话实例及其利用：构建了大型对话数据库，作为对话系统能够立即使用的数据，以CIAIR车载语音对话语料库为目标数据，进行词素分析、句法分析。 (2)鲁棒语音理解技术的发展：对话理解技术是针对信息检索领域而开发的。选择最从口语对话语料库中找出与输入话语句子相似的句子，并将输入话语句子的意图视为赋予该句子的意图。实际上，测量话语句子与话语句子之间的相似度的方法被设计为：一种利用词素、句法、关键词、句尾、上下文等信息的相似度计算方法。(3)语音对话系统的实现：设计了基于实例的对话处理，并作为一个系统实施整个系统由语音理解、对话控制、语音生成和实例数据库组成，实验验证了我们的语音对话处理技术的有效性和可实现性。

项目成果

期刊论文数量（31）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Towards Robust Spoken Dialogue System Using Large-Scale In-Car Speech Corpus

使用大规模车载语音语料库实现稳健的语音对话系统

DOI：
发表时间：
2005
期刊：
Proceedings of Workshop on DSP for in-Vehicle and Mobile Systems CDROM
影响因子：
0
作者：
松原茂樹;入江友紀;Tomohiro Ohno;Nobuo Kawaguchi;Kazuya Takeda;Yoshihide Kato;Hiroya Murao;Yuki Irie;Tomohiro Ohno;Nobuo Kawaguchi;Kazuya Takeda;Hiroya Murao;入江友紀;Shingo Kato;Shingo Kato;Yukiko Yamaguchi
通讯作者：
Yukiko Yamaguchi

Example-based Query Generation for Spontaneous Speech

基于示例的自发语音查询生成

DOI：
发表时间：
2005
期刊：
IEICE Transactions on Information and Systems Vol.E88-D No.2
影响因子：
0
作者：
松原茂樹;入江友紀;Tomohiro Ohno;Nobuo Kawaguchi;Kazuya Takeda;Yoshihide Kato;Hiroya Murao
通讯作者：
Hiroya Murao

Design and Evaluation of Speech Act Tags in Spoken Dialogue Corpus

口语对话语料库中言语行为标签的设计与评价

DOI：
发表时间：
2005
期刊：
IEICE Transactions on Information and Systems Vol.E88-D-II, No.10
影响因子：
0
作者：
松原茂樹;入江友紀;Tomohiro Ohno;Nobuo Kawaguchi;Kazuya Takeda;Yoshihide Kato;Hiroya Murao;Yuki Irie
通讯作者：
Yuki Irie

村尾浩也: "WOZによるオンライン修正が可能な事例ベース音声対話システム"情報処理学会研究報告. 49. 269-274 (2003)

Hiroya Murao：“能够使用 WOZ 进行在线纠正的基于案例的口语对话系统”日本信息处理学会研究报告 49. 269-274 (2003)。