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理學院
資訊工程學系
學位論文
學位論文
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http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/73912
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search.filters.author.郝柏翰
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search.filters.subject.Language Modeling
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search.filters.subject.Automatic Speech Recognition
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search.filters.subject.Concept Information
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search.filters.subject.Proximity Cues
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search.filters.subject.概念資訊
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運用鄰近與概念資訊於語言模型調適之研究
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2014
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郝柏翰
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本論文研究語言模型調適技術用於中文大詞彙連續語音辨識,其主要貢獻有兩個部分:第一部分探討主題模型(Topic Models)之延伸與改進,除了希望能放寬詞袋假設的限制之外,更藉由融入鄰近資訊(Proximity Information)期望使主題模型有更好的預測效能;第二部分提出概念模型(Concept Language Model, CLM),其主要目的為近似使用者心中所想之概念,並藉此觀察較為相關之用詞;同時,本論文更嘗試以不同方式來估測概念模型。本論文實驗以字錯誤率(Character Error Rate, CER)與語言複雜度(Perplexity)為評估依據;結果顯示本論文所提出方法對辨識效能之提升有明顯的幫助。
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