1 Ocak 2005 Konferans bildirisi Açık Erişim

Palaz, H; Kanak, A; Bicil, Y; Dogan, MU

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  "@id": 95711, 
  "@type": "ScholarlyArticle", 
  "creator": [
    {
      "@type": "Person", 
      "name": "Palaz, H"
    }, 
    {
      "@type": "Person", 
      "name": "Kanak, A"
    }, 
    {
      "@type": "Person", 
      "name": "Bicil, Y"
    }, 
    {
      "@type": "Person", 
      "name": "Dogan, MU"
    }
  ], 
  "datePublished": "2005-01-01", 
  "description": "Turkish Recognition ENgine (TREN) is a modular, Hidden Markov Model based (HMM-based), speaker independent and Distributed Component Object Model based (DCOM-based) speech recognition system. TREN is a two-layered system containing specialized modules that allow a fully interoperable platform including a Turkish speech recognizer, a feature extractor, an end-point detector and a performance monitoring module. in order to increase the recognition performance, a Turkish telephony speech database with a very large word corpus is collected and statistically the widest span of triphones representing Turkish is examined. TREN has been used to assist speech technologies which require a modular and a multithreaded speech recognizer with dynamic load sharing facilities.", 
  "headline": "Tren-Turkish Recognition ENgine for distributed applications", 
  "identifier": 95711, 
  "image": "https://aperta.ulakbim.gov.tr/static/img/logo/aperta_logo_with_icon.svg", 
  "license": "http://www.opendefinition.org/licenses/cc-by", 
  "name": "Tren-Turkish Recognition ENgine for distributed applications", 
  "url": "https://aperta.ulakbim.gov.tr/record/95711"
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