Large-Vocabulary Mandarin Speech Recognition using Hierarchical Language Model

• Main Authors: Yang, Yun-Shu, 楊雲舒
• Other Authors: Wang, Yih-Ru
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/76476966608462857598

碩士 === 國立交通大學 === 電信工程研究所 === 99 === It’s difficult to list all words in recognizer’s vocabulary for large-vocabulary speech recognition, so we present an approach for modeling out of vocabulary (OOV) words. In this thesis, we choose three types of word in Mandarin such as determinative-measure compound word, person name and affixation to deal with this OOV problem. Words are converted to the sub-word units and searched for in the hypotheses to cover more new words through the use of flexible sub-word units. The main focus of this study is to use the grammar and semantic information to construct a hierarchical language model for these three types of word. The language model will be added to promote the recognition performance and hope to recognize more meaningful long-term units such as word and word-chunk.