@inbook{2eb3e990cdef47d3abdd3fecaac1990a,
title = "Phonetic Search",
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.",
keywords = "Digital Speech Signal, Measured Distance Values, Phoneme Sequence, Phoneme String, Phonetic Search",
author = "Ami Moyal and Vered Aharonson and Ella Tetariy and Michal Gishri",
note = "Publisher Copyright: {\textcopyright} 2013, The Author(s).",
year = "2013",
doi = "10.1007/978-1-4614-6489-1\_3",
language = "English",
series = "SpringerBriefs in Speech Technology",
publisher = "Springer Science and Business Media B.V.",
pages = "13--17",
booktitle = "SpringerBriefs in Speech Technology",
}