| Some Issues in Speech Recognizer Portability (2007) | |||||||||||||||
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| Speech recognition technology has greatly evolved over the last decade. However, one of the remaining challenges is reducing the development cost. Most recognition systems are tuned to a particular task and porting the system to a new task (or language) requires substantial investment of time and money, as well as human expertise. Todays state-of-the-art systems rely on the availability of large amounts of manually transcribed data for acoustic model training and large normalized text corpora for language model training. Obtaining such data is both time-consuming and expensive, requiring trained human annotators with substantial amounts of supervision. This paper addresses some of the main issues in porting a recognizer to another task or language, and highlights some some recent research activities aimed a reducing the porting cost and at developing generic core speech recognition technology. | |||||||||||||||
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