1 Ocak 2005 Konferans bildirisi Açık Erişim

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

Dublin Core

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Palaz, H</dc:creator>
  <dc:creator>Kanak, A</dc:creator>
  <dc:creator>Bicil, Y</dc:creator>
  <dc:creator>Dogan, MU</dc:creator>
  <dc:date>2005-01-01</dc:date>
  <dc: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.</dc:description>
  <dc:identifier>https://aperta.ulakbim.gov.trrecord/95711</dc:identifier>
  <dc:identifier>oai:zenodo.org:95711</dc:identifier>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>http://www.opendefinition.org/licenses/cc-by</dc:rights>
  <dc:title>Tren-Turkish Recognition ENgine for distributed applications</dc:title>
  <dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
  <dc:type>publication-conferencepaper</dc:type>
</oai_dc:dc>