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SHTQS: a telephonebased Chinese spoken dialogue system

Journal of systems Engineering and Electronics 2005年第4期16卷 881-885页

作者： Mao Jiaju Chen Qiulin Gao Feng Guo Rong Lu Ruzhan Dept. of Computer Science and Engineering Shanghai Jiaotong Univ. Shanghai 200030 P. R. China

SHTQS is an intelligent telephone-besed spoken dialyze system providing the infomation about the best route between two sites in Shanghai. Instead of separated parts of speech decoding and language parsing, a close cool,ration is carded out in SHTQS by integrating automatic speech recognizer （AS,R）, language understanding, dialogue management and speech generatot. In such a way, the erroneous analysis and uncertainty happening in the preceding stages would be recovered and determined acourately with high-level knowledge, Moreover, instead of shallow word-level analysis or simply keyword or key phrase matching, a deeper analysis is performed in our system by integrating a robust parser and a semantic interpreter. The robust parser is particularly important for spontanecos speech inputs because most of the inquiry sentences/phrases are ill-formed. In addition, in designinga mixed-initiative dialogue system, understanding users＇ inquiries is essential; however, simply matching keywords and/or key phrases can hardly achieve this. Therefore, a semantic interpreter is incorporated in oar system. The performnce of is also evaluated. The dialogue efficiency is 4.4 sentences per query on an average and the case precision rate of language understanding module is up to 81%. The results are satisfactory.

关键词： spoken dialogue system ASR natural language understanding NLG TTS.

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Design and implementation of scenic-spot introduction-task-oriented3D virtual human spoken dialogue system

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Journal of Beijing Institute of Technology 2014年第3期23卷 395-400页

作者：吴王惠谢湘焦祎姗张征高高 Research Institute of Communication Technology Beijing Institute of Technology

A scenic-spot introduction-task-oriented 3D virtual human spoken dialogue system-- EasyGuide is introduced. The system includes five modules： natural language processing, task do- main knowledge database, dialogue management, voice processing and 3D virtual human text-to-vis- ual speech synthesis. In the first module, dictionary construction along with sentence analysis and semantic representation axe illustrated specifically. A tree-structured knowledge database is designed for the task domain. A novel framework based on the keyword analysis and context constraints is proposed as the dialogue management. As for voice processing module, a software development kit which performs speech recognition and synthesis is introduced briefly. In the last module, 3D viseme synthesis is explained with examples and a text-driven facial animation system is presented. Evalua- tion results show that the system can achieve satisfactory performance.

关键词： spoken dialogue system speech recognition dialogue management.

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Spontaneous Speech Parsing in Travel Information Inquiring and Booking systems

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Journal of Computer Science & Technology 2002年第6期17卷 924-932页

作者：燕鹏举郑方孙辉徐明星 Center of Speech Technology State Key Laboratory of Intelligent Technology and Systems Department of Computer Science and Technology Tsinghua University Beijing 100084 P.R. China

Grammar-based parsing is a prevalent method for natural language under-standing (NLU) and has been introduced into dialogue systems for spoken language processing(SLP). A robust parsing scheme is proposed in this paper to overcome the notorious phenome-na, such as garbage, ellipsis, word disordering, fragment, and ill-form, which frequently occurin spoken utterances. Keyword categories are used as terminal symbols, and the definition ofgrammar is extended by introducing three new rule types, by-passing, up-messing and over-crossing, in addition to the general rules called up-tying in this paper, and the use of semanticitems simplifies the semantics extraction. The corresponding parser marionette, which is essen-tially a partial chart parser, is enhanced to parse the semantic grammar. The robust parsingscheme integrating the above methods has been adopted in an air traveling information ser-vice system called EasyFlight, and has achieved a high performance when used for parsingspontaneous speeches.

关键词： spoken language understanding spoken dialogue system spontaneous speech

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Chinese spoken language understanding in SHTQS

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Journal of Harbin Institute of Technology(New Series) 2005年第2期12卷 225-230页

作者：毛家菊郭荣陆汝占 Dept. of Computer Science and Engineering Shanghai Jiaotong University Shanghai 200030 China

spoken dialogue systems are an active research field with wide applications. But the differences in the Chinese spoken dialogue system are not as distinct as that of English. In Chinese spoken dialogues, there are many language phenomena. Firstly, most utterances are ill-formed. Secondly, ellipsis, anaphora and negation are also widely used in Chinese spoken dialogue. Determining how to extract semantic information from incomplete sentences and resolve negation, anaphora and ellipsis is crucial. SHTQS (Shanghai Transportation Query system) is an intelligent telephone-based spoken dialogue system providing information about the best route between any two sites in Shanghai. After a brief description of the system, the natural language processing is emphasized. Speech recognition sentences unavoidably contain errors. In language sequence processing procedures, these errors can be easily passed to the later parts and take on a ripple effect. To detect and recover these from errors as early as possible, language-processing strategies are specially considered. For errors resulting from divided words in speech recognition, segmentation and POS Tagging approaches that can rectify these errors are designed. Since most of the inquiry utterances are ill-formed and negation, anaphora and ellipsis are common language phenomena, the language understanding must be adequately adaptive. So, a partial syntactic parsing scheme is adopted and a chart algorithm is used. The parser is based on unification grammar. The semantic frame that extracts from the best arc set of the chart is used to represent the meaning of sentences. The negation, anaphora and ellipsis are also analyzed and corresponding processing approaches are presented. The accuracy of the language processing part is 88.39% and the testing result shows that the language processing strategies are rational and effective.

关键词： spoken dialogue system natural language understanding syntactic parsing

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