Abstract
Traditionally, information retrieval techniques create an index of words or terms found in a textual database that can later be rapidly searched by simply entering a query for a desired word or term. Naturally, straightforward application of this technique to non-textual materials is impossible. When it comes to speech, using text-based techniques requires a preprocessing stage of transforming the digital speech signal into some form of text. However, since classical speech recognition engines are not totally accurate, the indexing will necessarily include errors.
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Moyal, A., Aharonson, V., Tetariy, E., Gishri, M. (2013). Phonetic Search. In: Phonetic Search Methods for Large Speech Databases. SpringerBriefs in Electrical and Computer Engineering(). Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6489-1_3
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DOI: https://doi.org/10.1007/978-1-4614-6489-1_3
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