Abstract
Keyword spotting (KWS) refers to the spotting and retrieval of predefined keywords from audio database. Different supervised as well as unsupervised approaches have been implemented to do keyword spotting. Keyword spotting is considered to be the first among speech searching. Later, keyword spotting paved the way to Spoken Term Detection (STD) and Query by Example STD (QbE-STD). In the early days, researchers have used HMM for KWS, where the speech data is converted into corresponding text data for text-level matching. But, the latest techniques make use of MLP and DNN for doing search, so that the speech to text conversion is not necessary. All such techniques for keyword spotting are discussed briefly in this chapter.
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Mary, L., G, D. (2019). Keyword Spotting Techniques. In: Searching Speech Databases. SpringerBriefs in Speech Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-97761-4_4
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DOI: https://doi.org/10.1007/978-3-319-97761-4_4
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