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Author Title Type [ Year(Asc)]
2012
D. Povey, Hannemann, M., Boulianne, G., Burget, L., Ghoshal, A., Janda, M., Karafiat, M., Kombrink, S., Motlicek, P., Qian, Y., Riedhammer, K., Vesely, K., and Vu, N. T., Generating exact lattices in the WFST framework, in Proc. IEEE ICASSP, 2012, pp. 4213-4216.
L. Lu, Ghoshal, A., and Renals, S., Joint Uncertainty Decoding with Unscented Transform for Noise Robust Subspace Gaussian Mixture Models, in Proc. SAPA-SCALE Conference, Portland, OR, 2012.
L. Lu, Ghoshal, A., and Renals, S., Maximum a posteriori adaptation of subspace Gaussian mixture models for cross-lingual speech recognition, in Proc. IEEE ICASSP, 2012, pp. 4877-4880.
L. Lu, Chin, K. K., Ghoshal, A., and Renals, S., Noise Compensation for Subspace Gaussian Mixture Models, in Proc. Interspeech, Portland, OR, 2012.
X. Liu, Gales, M., and Woodland, P., Paraphrastic Language Models, in ISCA Interspeech2012, Portland, Oregon, 2012.
K. Riedhammer, Bocklet, T., Ghoshal, A., and Povey, D., Revisiting semi-continuous hidden Markov models, in Proc. IEEE ICASSP, 2012, pp. 4271-4274.
H. Christensen, Siddharth, S., O'Neill, P., Clarke, Z., Judge, S., Cunningham, S., and 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, 2012.
J. Yamagishi, Veaux, C., King, S., and Renals, S., Speech synthesis technologies for individuals with vocal disabilities: Voice banking and reconstruction, Acoustical Science and Technology, vol. 33, pp. 1-5, 2012.
C. Fox, Christensen, H., and Hain, T., Studio report: Linux audio for multi-speaker natural speech technology., in Proc. Linux Audio Conference, 2012.
P. Bell, Gales, M., Lanchantin, P., Liu, X., Long, Y., Renals, S., Swietojanski, P., and Woodland, P., Transcription of multi-genre media archives using out-of-domain data, in Proc. IEEE Workshop on Spoken Language Technology, Miami, Florida, USA, 2012.
P. Swietojanski, Ghoshal, A., and Renals, S., Unsupervised Cross-lingual Knowledge Transfer for DNN-based LVCSR, in Proceedings of the IEEE Workshop on Spoken Language Technology, 2012.
H. Lu and King, S., Using Bayesian Networks to find relevant context features for HMM-based speech synthesis, in Proc Interspeech 2012, Portland, Oregon, US, 2012.

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