计算机科学
过程(计算)
词汇
领域(数学分析)
国际化
自然语言处理
人工智能
语言模型
语音识别
语言学
程序设计语言
数学
数学分析
哲学
经济
微观经济学
作者
Mike Schuster,Kaisuke Nakajima
标识
DOI:10.1109/icassp.2012.6289079
摘要
This paper describes challenges and solutions for building a successful voice search system as applied to Japanese and Korean at Google. We describe the techniques used to deal with an infinite vocabulary, how modeling completely in the written domain for language model and dictionary can avoid some system complexity, and how we built dictionaries, language and acoustic models in this framework. We show how to deal with the difficulty of scoring results for multiple script languages because of ambiguities. The development of voice search for these languages led to a significant simplification of the original process to build a system for any new language which in in parts became our default process for internationalization of voice search.
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