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Titlebook: Searching Speech Databases; Features, Techniques Leena Mary,Deekshitha G Book 2019 The Author(s), under exclusive licence to Springer Natur

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Spoken Term Detection Techniques,o 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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2191-737X arch community.Presents various features, their representati.This book presents techniques  for audio search, aimed to  retrieve information from massive speech databases by using audio query words. The authors examine different features, techniques and evaluation measures attempted by researchers a
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Keyword Spotting Techniques,ch 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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SpringerBriefs in Speech Technologyhttp://image.papertrans.cn/s/image/863066.jpg
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https://doi.org/10.1007/978-3-319-97761-4Electronic speech processing; Language recognition; Audio search techniques; Information retrieval usin
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978-3-319-97760-7The Author(s), under exclusive licence to Springer Nature Switzerland AG 2019
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