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This paper describes the Arabic Multi-Genre Broadcast (MGB-2) Challenge for SLT-2016.
“Identification of common molecular subsequences,”
T. Smith and M. Waterman, · 1981
Earlier work this paper cites.
“SRILM - an extensible language modeling toolkit.,”
Andreas Stolcke et al., · 2002
Earlier work this paper cites.
“Lightly supervised recognition for automatic alignment of large coherent speech recordings.,”
N. Braunschweiler, M. J. F. Gales, and S Buchholz, · 2010
Earlier work this paper cites.
“The Kaldi speech recognition toolkit,”
D. Povey, A. Ghoshal, G. Boulianne, L. Burget, O. Glembek, N. Goel, M. Hannemann, P. Motlicek, Y. Qian, P. Schwarz, J. Silovsky,̀ G. Stemmer, and K. Vesely, · 2011
Earlier work this paper cites.
“QCRI advanced transcription system (QATS),”
A. Ali, Y. Zhang, and S. Vogel, · 2014
Cited alongside, same era.
“A complete Kaldi recipe for building Arabic speech recognition systems,”
A. Ali, Y. Zhang, P. Cardinal, N. Dahak, S. Vogel, and J. Glass, · 2014
Cited alongside, same era.
“The MGB challenge: Evaluating multi-genre broadcast media recognition,”
P. J. Bell, M. J. F. Gales, T. Hain, J. Kilgour, P. Lanchantin, X. Liu, A. McParland, S. Renals, O. Saz, M. Wester, and P. C. Woodland, · 2015
Cited alongside, same era.
“QCRI advanced transcription system (QATS) for the arabic multi-dialect broadcast media recognition: MGB-2 challenge,”
S. Khurana and A. Ali, · 2016
Cited alongside, same era.
“LIUM ASR systems for the 2016 multi-genre broadcast Arabic challenge,”
N. Tomashenko, K. Vythelingum, A. Rousseau, and Y. Estève, · 2016
Closest in time.
“Development of the MIT ASR system for the 2016 Arabic multi-genre broadcast challenge,”
T. AlHanai, W. Hsu, and J. Glass, · 2016
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“The NDSC transcription system for the 2016 multi-genre broadcast challenge,”
X. Yang, D. Qu, W. Zhang, and W. Zhang, · 2016
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