LEADER 00788nam0-22002771i-450- 001 990006123640403321 005 20150108111014.0 035 $a000612364 035 $aFED01000612364 035 $a(Aleph)000612364FED01 035 $a000612364 100 $a20000112d1911----km-y0itay50------ba 101 0 $aita 105 $ay-------00-yy 200 1 $a"Actio" e "interdictum"$e(nota esegetica)$fEmilio Albertario 210 $aPavia$cPremiata Tipografia Successori Fratelli Fusi$d1911 215 $a15 p.$d24 cm 676 $a340.5 700 1$aAlbertario,$bEmilio$0222121 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990006123640403321 952 $aB.SOL.BUSTA A 15$b64375$fFGBC 959 $aFGBC 996 $a"Actio" e "interdictum"$9644168 997 $aUNINA LEADER 04095oam 2200541 450 001 9910437895203321 005 20190911103512.0 010 $a1-4614-6489-7 024 7 $a10.1007/978-1-4614-6489-1 035 $a(OCoLC)829681844 035 $a(MiFhGG)GVRL6YNU 035 $a(EXLCZ)993360000000455739 100 $a20121231d2013 uy 0 101 0 $aeng 135 $aurun|---uuuua 181 $ctxt 182 $cc 183 $acr 200 10$aPhonetic search methods for large speech databases /$fAmi Moyal [and three others] 205 $a1st ed. 2013. 210 1$aNew York :$cSpringer,$d2013. 215 $a1 online resource (x, 53 pages) $cillustrations (some color) 225 1 $aSpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,$x2191-737X 300 $a"ISSN: 2191-8112." 311 $a1-4614-6488-9 320 $aIncludes bibliographical references (pages 49-53). 327 $aKeyword Spotting out of Continuous Speech -- Introduction -- Problem Formulation: KWS in Large Speech Databases -- Target Applications of Keyword Spotting -- Keyword Spotting Methods -- LVCSR-Based KWS -- Acoustic KWS -- Phonetic Search KWS -- Discussion: Why Phonetic Search? -- Response Time -- KWS Performance -- Keyword Flexibility -- Phonetic Search -- The Search Mechanism -- Using Phonetic Search for KWS -- Computational Complexity Analysis -- Search Space Complexity Reduction -- Overview -- Complexity Reduction in Phonetic Search -- Anchor-based Phonetic Search -- Evaluating Phonetic Search KWS -- Performance Metrics -- Evaluation Process -- Evaluation Databases -- Evaluation Results -- Exhaustive Search. - Textual Benchmark -- KWS on Speech -- Anchor-based Search -- Textual Benchmark -- Reduced Complexity KWS on Speech -- Multiple Thresholds -- Lessons Learned from the Evaluation -- Summary -- Glossary of Acronyms -- References. 330 $a?Phonetic Search Methods for Large Databases? focuses on Keyword Spotting (KWS) within large speech databases. The brief will begin by outlining the challenges associated with Keyword Spotting within large speech databases using dynamic keyword vocabularies. It will then continue by highlighting the various market segments in need of KWS solutions, as well as, the specific requirements of each market segment. The work also includes a detailed description of the complexity of the task and the different methods that are used, including the advantages and disadvantages of each method and an in-depth comparison. The main focus will be on the Phonetic Search method and its efficient implementation. This will include a literature review of the various methods used for the efficient implementation of Phonetic Search Keyword Spotting, with an emphasis on the authors? own research which entails a comparative analysis of the Phonetic Search method which includes algorithmic details. 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