keyword spotting

Keyword spotting is a subfield of speech recognition that deals with the identification of keywords in utterances.

Classification

There are several types of keyword spotting:

Keyword spotting in unconstrained speech
Keyword spotting in isolated word recognition

Keyword Spotting in unconstrained speech

This 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:

Wilpon's Sliding Window and Garbage Model
Bourlard's K-best Hypothesis
Silaghi's Iterative Viterbi Decoding

Keyword Spotting in isolated word recognition

This appears when the keywords are separated from other texts by silences. The main technique that applied in such problems is Dynamic Time Warping.

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iterative viterbi decoding
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