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Keyword spotting is a subfield of speech recognition that deals with the identification of keywords in utterances. There are several types of keyword spotting: * Keyword spotting in unconstrained speech * Keyword spotting in isolated word recognition Keyword spotting in unconstrained speech appears when keywords may not be separated from other words, and no grammar is enforced on the sentence containing them. Some algorithms used for this task are: * Sliding window and garbage model * K-best hypothesis * Iterative Viterbi decoding Keyword spotting in isolated word recognition appears when the keywords are separated from other texts by silences. The main technique that applied in such problems is dynamic time warping. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「keyword spotting」の詳細全文を読む スポンサード リンク
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