QCRI advanced transcription system (QATS) for the Arabic Multi-Dialect Broadcast media recognition: MGB-2 challenge

Abstract

In this paper, we describe Qatar Computing Research Institute's (QCRI) speech transcription system for the 2016 Dialectal Arabic Multi-Genre Broadcast (MGB-2) challenge. MGB-2 is a controlled evaluation using 1,200 hours audio with lightly supervised transcription Our system which was a combination of three purely sequence trained recognition systems… (More)
DOI: 10.1109/SLT.2016.7846279

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Cite this paper

@article{Khurana2016QCRIAT, title={QCRI advanced transcription system (QATS) for the Arabic Multi-Dialect Broadcast media recognition: MGB-2 challenge}, author={Sameer Khurana and Ahmed M. Ali}, journal={2016 IEEE Spoken Language Technology Workshop (SLT)}, year={2016}, pages={292-298} }