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Conference Paper
Christensen H, Cunningham S, Fox C, Green P, Hain T. A comparative study of adaptive, automatic recognition of disordered speech. In: Proc Interspeech 2012. Proc Interspeech 2012. Portland, Oregon, US; 2012. p. . Available from: http://staffwww.dcs.shef.ac.uk/people/H.Christensen/pubs/christensen_is12.pdf
Lu H, King S. FACTORIZED CONTEXT MODELLING FOR TEXT-TO-SPEECH SYNTHESIS. In: Proc ICASSP 2013. Proc ICASSP 2013. Vancouver, Canada; 2013. p. . Available from: http://homepages.inf.ed.ac.uk/hlu2/pdfs/IC13HengSimon.pdf
Shannon M, Byrne W. Fast, low-artifact speech synthesis considering global variance. In: Proc. ICASSP 2013. Proc. ICASSP 2013. Vancouver, Canada; 2013. p. . Available from: http://www.dspace.cam.ac.uk/handle/1810/244408
Povey D, Hannemann M, Boulianne G, Burget L, Ghoshal A, Janda M, Karafiat M, Kombrink S, Motlicek P, Qian Y. Generating exact lattices in the WFST framework. In: Proc. IEEE ICASSP. Proc. IEEE ICASSP. ; 2012. p. 4213-4216. Available from: http://homepages.inf.ed.ac.uk/aghoshal/pubs/icassp12-lattices.pdf
Lu L, Ghoshal A, Renals S. Joint Uncertainty Decoding with Unscented Transform for Noise Robust Subspace Gaussian Mixture Models. In: Proc. SAPA-SCALE Conference. Proc. SAPA-SCALE Conference. Portland, OR; 2012. p. . Available from: http://www.sapaworkshops.org/2012/papers/sapa2012-116.pdf
Fox CW, T. H. Lightly supervised learning from a damaged natural speech corpus. In: Proc. IEEE ICASSP 2013. Proc. IEEE ICASSP 2013. ; 2013. p. .
Lu L, Ghoshal A, Renals S. Maximum a posteriori adaptation of subspace Gaussian mixture models for cross-lingual speech recognition. In: Proc. IEEE ICASSP. Proc. IEEE ICASSP. ; 2012. p. 4877-4880. Available from: http://homepages.inf.ed.ac.uk/aghoshal/pubs/icassp12-sgmm_map_xling.pdf
Lu L, Chin KK, Ghoshal A, Renals S. Noise Compensation for Subspace Gaussian Mixture Models. In: Proc. Interspeech. Proc. Interspeech. Portland, OR; 2012. p. . Available from: http://homepages.inf.ed.ac.uk/aghoshal/pubs/lu-is12-sgmm_jud.pdf
Lu L, Ghoshal A, Renals S. Regularized Subspace Gaussian Mixture Models for Cross-lingual Speech Recognition. In: Proc IEEE ASRU. Proc IEEE ASRU. ; 2011. p. . Available from: http://www.cstr.ed.ac.uk/downloads/publications/2011/lu-asru-2011.pdf
Riedhammer K, Bocklet T, Ghoshal A, Povey D. Revisiting semi-continuous hidden Markov models. In: Proc. IEEE ICASSP. Proc. IEEE ICASSP. ; 2012. p. 4271-4274. Available from: http://homepages.inf.ed.ac.uk/aghoshal/pubs/icassp12-semi_cont.pdf
Christensen H, Siddharth S, O'Neill P, Clarke Z, Judge S, Cunningham S, Hawley M. SPECS - an embedded platform, speech-driven environmental control system evaluated in a virtuous circle framework. In: Proc. Workshop on Innovation and Applications in Speech Technology. Proc. Workshop on Innovation and Applications in Speech Technology. ; 2012. p. . Available from: http://www.dcs.shef.ac.uk/~heidi/pubs/iast-abstract.pdf
Fox C, Christensen H, Hain T. Studio report: Linux audio for multi-speaker natural speech technology. In: Proc. Linux Audio Conference. Proc. Linux Audio Conference. ; 2012. p. . Available from: http://staffwww.dcs.shef.ac.uk/people/C.Fox/fox_lac2012.pdf
Bell P, Gales M, Lanchantin P, Liu X, Long Y, Renals S, Swietojanski P, Woodland P. Transcription of multi-genre media archives using out-of-domain data. In: Proc. IEEE Workshop on Spoken Language Technology. Proc. IEEE Workshop on Spoken Language Technology. Miami, Florida, USA; 2012. p. . Available from: http://www.cstr.inf.ed.ac.uk/downloads/publications/2012/mlan_slt2012.pdf
Swietojanski P, Ghoshal A, Renals S. Unsupervised Cross-lingual Knowledge Transfer for DNN-based LVCSR. In: Proceedings of the IEEE Workshop on Spoken Language Technology. Proceedings of the IEEE Workshop on Spoken Language Technology. ; 2012. p. . Available from: http://homepages.inf.ed.ac.uk/aghoshal/pubs/slt12-xling_dnn.pdf
Lu H, King S. Using Bayesian Networks to find relevant context features for HMM-based speech synthesis. In: Proc Interspeech 2012. Proc Interspeech 2012. Portland, Oregon, US; 2012. p. . Available from: http://homepages.inf.ed.ac.uk/hlu2/pdfs/HengLuSimonKing.pdf