Interactive Spoken Content Retrieval with Deep Reinforcement Learning

碩士 === 國立臺灣大學 === 電信工程學研究所 === 104 === Interactive retrieval is important for spoken content. The reason is because when looking for text documents, one can easily scan through and select on a search engine result page, whereas similar privileges don not exist when searching for spoken content. Besi...

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Bibliographic Details
Main Authors: Yen-Chen Wu, 吳彥諶
Other Authors: 李琳山
Format: Others
Language:zh-TW
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/37478361307949330114