Abstract
The technology of audio search has now improved to search and retrieve any unspecified spoken word from an audio database with reasonable accuracy. This is termed as Spoken Term Detection (STD). STD can be broadly classified into Text-based STD and Query by Example STD (QbE-STD). In normal STD, query as well as database is converted to corresponding text/symbol for searching purpose. Since this technique needs speech to text mapping, some form of recognition systems is used. So, it is a challenging task for under-resourced languages. In QbE-STD, the query is processed in audio format. Speech to text conversion is not used for searching the database. There is no limitation on the query word length and its frequency. Based on the way of realization, STD systems are categorized as supervised and unsupervised. Various systems for STD are discussed in this chapter.
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Mary, L., G, D. (2019). Spoken Term Detection Techniques. In: Searching Speech Databases. SpringerBriefs in Speech Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-97761-4_5
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DOI: https://doi.org/10.1007/978-3-319-97761-4_5
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