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:
- 金额:$ 10.3万
- 依托单位:
- 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
- 来源:
- 关键词:
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
我们开发了一种利用人类对话实例进行对话处理的技术,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语音理解、语音生成和语音规划等大部分模块。将真实的对话实例作为数据,使系统具有以下功能:通过相似的实例实现健壮的语音理解,通过自然表情输出类人的自发语音,通过添加实例对对话系统进行扩展,如下所示:(1)对话实例的构建及其利用:将大型对话数据库构建为对话系统可立即使用的数据。使用CIAIR车内语音对话语料库作为目标数据。给出了语素分析、句法分析、言语行为分析等语言单位的标记。(2)…的开发更多的稳健语音理解技术:对话理解技术是为信息检索领域开发的。这是基于从口语对话语料库中选择与输入话语句子最相似的句子,并将输入话语句子的意图作为给予该句子的意图的思想。基于语素、句法、关键词、句尾、语境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,并作为汽车餐厅导游系统实现。整个系统由语音理解、对话控制、语音生成和例句数据库组成。实验结果验证了本文提出的口语对话处理技术的有效性和可实现性。较少
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)
CIAIR In-car Speech Corpus-Influence of Driving Status-
CIAIR车载语音语料库-驾驶状态的影响-
- DOI:
- 发表时间:2005
- 期刊:
- 影响因子:0
- 作者:Yoshihide Kato;Tomohiro Ohno;Nobuo Kawaguchi
- 通讯作者:Nobuo Kawaguchi
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:
- 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:
- 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:
- 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)。
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
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KAWAGUCHI Nobuo其他文献
KAWAGUCHI Nobuo的其他文献
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{{ truncateString('KAWAGUCHI Nobuo', 18)}}的其他基金
Sophisticated indoor context estimation based on real world data
基于真实世界数据的复杂室内环境估计
- 批准号:
17H01762 - 财政年份:2017
- 资助金额:
$ 10.3万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Economic Trust Model for Information Flow on Real World Data
现实世界数据信息流的经济信任模型
- 批准号:
17KT0082 - 财政年份:2017
- 资助金额:
$ 10.3万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Large-scale Database Construction of Wearable Sensors for Human Activity Recognition
用于人体活动识别的可穿戴传感器的大规模数据库构建
- 批准号:
23240014 - 财政年份:2011
- 资助金额:
$ 10.3万 - 项目类别:
Grant-in-Aid for Scientific Research (A)
Ubiquitous Smart Environment based on Small Distributed Sensors
基于小型分布式传感器的泛在智能环境
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19300016 - 财政年份:2007
- 资助金额:
$ 10.3万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
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