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  OSR(OpenSpeech™ Recognizer)은 전화망의 음성인식 솔루션을 선도하는 제품입니다.
OSR은 가장 많은 언어와 사투리 등에서 최고의 정확도를 전해드리며, 자연어에 기반한 차세대 대화형 Application들에 SpeakFreely®와 같은 진보된 특징들을 통해 음성 Application에 최첨단 기술을 지원합니다.

OSR은 잡음환경, 모바일폰, VOIP(Voice over Internet Protocol) 등의 통신환경에서 정확성을 향상시키기 위해 자동적으로 다양한 Acoustic요소들을 적용시킵니다. 또한 OSR은 NUANCE의 MediaServer를 통해 MRCP 사용이 가능합니다.
SpeakFreely
Automatic improvement in deployment
Endpointing and Barge-in
Outstanding Performance and Scalability
The Largest Language Portfolio
 
Language Dialect Language Dialect
Cantonese Hong Kong Hungarian Hungary
Catalan Spain Italian Italy
Czech Czech Republic   Switzerland
Danish Denmark Japanese Japan
Dutch Netherlands Korean Korea
English Australia Mandarin PRC
  Great Britain   Taiwan
  India Polish Poland
  Singapore Portuguese Brazil
  USA   Portugal
Euskera Spain Russian Russia
Finnish Finland Slovak Slovakia
Flemish Belgium Slovene Slovenia
French Belgium Spanish Argentina
  Canada   Colombia
  France   Spain
  Luxembourg   USA
  Switzerland Swedish Finland
Greek Greece   Sweden
Hebrew Israel Turkish Turkey
    Welsh Great Britain
Windows Softsare
Windows 2000 or 2003 Professional or Server
Service Pack 2 for Windows 2000
Linux Software
Red Hat Linux 7.2 or Red Hat Advanced Server 2.1
Red Hat Enterprise Server 3.0
Hardware
Intel Pentium III or Pentium 4-based computer
(the processor must support streaming SIMD extensions)
256 MB RAM
On Windows, 50 MB of free disk space for the OSR 3.0 run-time software
(includes 8 MB for the OSR 3.0 documentation)
On Red Hat Linux, 75 MB of free disk space for the OSR 3.0 run-time software
(includes 8 MB for the OSR 3.0 documentation)
Sufficient free disk space for at least one Language Pack. Some typical disk
space requirements for Language Packs available with OSR 3.0 are:
Language Space
US English 80 MB
Typical language pack 20 ~ 50 MB
10 MB of free disk space for the OSR 3.0 tuning data directory
(1 GB recommended)
Call Center
VAD
Endpointing and Barge-in
Outstanding Performance and Scalability
The Largest Language Portfolio

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