region:us
The first edition of the Multi-Genre Broadcast (MGB-1) Challenge is an evaluation of speech recognition, speaker diarization, and lightly supervised alignment using TV recordings in English.

The speech data is broad and multi-genre, spanning the whole range of TV output, and represents a challenging task for speech technology.

In 2015, the challenge used data from the British Broadcasting Corporation (BBC).
@inproceedings{bell2015mgb,
  title={The MGB challenge: Evaluating multi-genre broadcast media recognition},
  author={Bell, Peter and Gales, Mark JF and Hain, Thomas and Kilgour, Jonathan and Lanchantin, Pierre and Liu, Xunying and McParland, Andrew and Renals, Steve and Saz, Oscar and Wester, Mirjam and others},
  booktitle={2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)},
  pages={687--693},
  year={2015},
  organization={IEEE}
}
Entry not found