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Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech.

, , , , , , and . INTERSPEECH, page 3642-3645. ISCA, (2013)

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Binaural Cues for Fragment-Based Speech Recognition in Reverberant Multisource Environments., , , and . INTERSPEECH, page 1657-1660. ISCA, (2011)Multi-stage compaction approach to broadcast news summarisation., , and . INTERSPEECH, page 69-72. ISCA, (2005)Using location cues to track speaker changes from mobile, binaural microphones., and . INTERSPEECH, page 140-143. ISCA, (2009)A comparative study of adaptive, automatic recognition of disordered speech., , , , and . INTERSPEECH, page 1776-1779. ISCA, (2012)Remote Speech Technology for Speech Professionals - the CloudCAST initiative., , , , , , , , and . SLPAT@Interspeech, page 97-102. Association for Computational Linguistics, (2015)Discriminating Between Imagined Speech and Non-Speech Tasks Using EEG., , , and . EMBC, page 1952-1955. IEEE, (2018)The CAVA corpus: synchronised stereoscopic and binaural datasets with head movements., , , , , , , , , and 2 other author(s). ICMI, page 109-116. ACM, (2008)Knowledge transfer between speakers for personalised dialogue management., , , , and . SIGDIAL Conference, page 12-21. The Association for Computer Linguistics, (2015)Integrating pitch and localisation cues at a speech fragment level., , , and . INTERSPEECH, page 2769-2772. ISCA, (2007)Speaker turn tracking with mobile microphones: Combining location and pitch information., and . EUSIPCO, page 954-958. IEEE, (2010)