| Summary: | 碩士 === 國立臺灣大學 === 電信工程學研究所 === 101 === Since mobile devices are popular recently and has personal information, the importance of personalized speech recognition system on mobile devices has raised. This thesis aims to make use of personal data of mobile device users on social network. Considering the personal feature and time variation, develop personalized language model and personalized speech recognition system.
This thesis starts from building personalized language model using personal data. Since personal data is sparse, continue to make use of data on social network to develop crowd-sourced personalized language model.
Considering time-variation of personal language model, develop real-time crowd-sourced personalized language model.
Considering social interaction on social network, develop a social-network enhanced personalized language model.
This thesis also discusses about speech recognition system on modile devices, including doing LVCSR without internet connection with server.
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