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Palaz, H; Kanak, A; Bicil, Y; Dogan, MU
{
"URL": "https://aperta.ulakbim.gov.tr/record/95711",
"abstract": "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.",
"author": [
{
"family": "Palaz",
"given": " H"
},
{
"family": "Kanak",
"given": " A"
},
{
"family": "Bicil",
"given": " Y"
},
{
"family": "Dogan",
"given": " MU"
}
],
"id": "95711",
"issued": {
"date-parts": [
[
2005,
1,
1
]
]
},
"title": "Tren-Turkish Recognition ENgine for distributed applications",
"type": "paper-conference"
}
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