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Woodland, \u201cThe MGB Challenge: Evaluating multi-genre broadcast media transcription,\u201d 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), pp.687-693, Scottsdale, Arizona, USA, Dec. 2015. 10.1109\/asru.2015.7404863","DOI":"10.1109\/ASRU.2015.7404863"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[6] L. Lamel, J.-L. Gauvain, and G. Adda, \u201cLightly supervised and unsupervised acoustic model training,\u201d Computer Speech & Language, vol.16, no.1, pp.115-129, Jan. 2002. 10.1006\/csla.2001.0186","DOI":"10.1006\/csla.2001.0186"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] J.-U. Bang, M.-Y. Choi, S.-H. Kim, and O.-W. Kwon, \u201cImproving speech recognizers by refining broadcast data with inaccurate subtitle timestamps,\u201d Interspeech 2017, pp.2929-2933, Stockholm, Sweden, Aug. 2017. 10.21437\/interspeech.2017-650","DOI":"10.21437\/Interspeech.2017-650"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] P.J. 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