QAT2 - the QCRI advanced transcription and translation system

Ahmed Abdelali, Ahmad Ali, Francisco Guzmán, Felix Stahlberg, Stephan Vogel, Yifan Zhang

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)

Abstract

QAT2 is a multimedia content translation web service developed by QCRI to help content provider to reach audiences and viewers speaking different languages. It is built with establishing open source technologies such as KALDI, Moses and MaryTTS, to provide a complete translation experience for web users. It translates text content in its original format, and produce translated videos with speech-to-speech translation. The result is a complete native language experience for end users on foreign language websites. The system currently supports translation from Arabic to English.

Original languageEnglish
Pages (from-to)726-727
Number of pages2
JournalProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Volume2015-January
Publication statusPublished - 2015
Event16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015 - Dresden, Germany
Duration: 6 Sept 201510 Sept 2015

Keywords

  • Machine translation
  • Speech recognition
  • Speech-to-speech translation
  • Text-to-speech synthesis

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