RTTS: towards enterprise-level real-time speech transcription and translation services

نویسندگان

  • Juan M. Huerta
  • Cheng Wu
  • Andrej Sakrajda
  • Sasha Caskey
  • Ea-Ee Jan
  • Alexander Faisman
  • Shai Ben-David
  • Wen Liu
  • Antonio Lee
  • Osamuyimen Stewart
  • Michael Frissora
  • David Lubensky
چکیده

In this paper we describe the RTTS system for enterpriselevel real time speech recognition and translation. RTTS follows a Web Service-based approach which allows the encapsulation of ASR and MT Technology components thus hiding the configuration and tuning complexities and details from the client applications while exposing a uniform interface. In this way, RTTS is capable of easily supporting a wide variety of client applications. The clients we have implemented include a VoIP-based real time speech-tospeech translation system, a chat and Instant Messaging translation System, a Transcription Server, among others.

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تاریخ انتشار 2009