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標題Title: Speech_Act_Modeling_in_a_Spoken_Dialogue_System_Using_a_Fuzzy_Fragment-class_Markov_Model
作者Authors: 顏國郎,Chung-Hsien Wu..等
上傳單位Department: 資訊工程系
上傳時間Date: 2009-12-1
上傳者Author: 顏國郎
審核單位Department: 資訊工程系
審核老師Teacher: 顏國郎
檔案類型Categories: 論文Thesis
關鍵詞Keyword: Spoken language; Speech act; Fuzzy fragment-class Markov model; Verification
摘要Abstract: In a spoken dialog system, it is an important problem for the computer to identify the speech act (SA) from a user’s
utterance due to the variability of spoken language. In this paper, a corpus-based fuzzy fragment-class Markov model
(FFCMM) is proposed to model the syntactic characteristics of a speech act and used to choose the speech act candidates.
A speech act verification process, that estimates the conditional probability of a speech act given a sequence of
fragments, is used to verify the speech act candidate. Most main design procedures are statistical- and corpus-based to
reduce manual work. In order to evaluate the proposed method, a spoken dialog system for air travel information
service (ATIS) is investigated. The experiments were carried out using a test database from 25 speakers (15 male and 10
female). There are 480 dialogs, containing 3038 sentences in the test database. The experimental results show that the
speech act identification rate can be improved by 10.5% using the FFCMM and speech act verification with a rejection
rate of 6% compared to a baseline system.

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2009_12_e6778aa7.pdf 440Kb pdf 649 184
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