MIT-QCRI Arabic dialect identification system for the 2017 multi-genre broadcast challenge

@article{Shon2017MITQCRIAD,
  title={MIT-QCRI Arabic dialect identification system for the 2017 multi-genre broadcast challenge},
  author={Suwon Shon and Ahmed M. Ali and James R. Glass},
  journal={2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)},
  year={2017},
  pages={374-380}
}
In order to successfully annotate the Arabic speech content found in open-domain media broadcasts, it is essential to be able to process a diverse set of Arabic dialects. For the 2017 Multi-Genre Broadcast challenge (MGB-3) there were two possible tasks: Arabic speech recognition, and Arabic Dialect Identification (ADI). In this paper, we describe our efforts to create an ADI system for the MGB-3 challenge, with the goal of distinguishing amongst four major Arabic dialects, as well as Modern… CONTINUE READING