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Author Title Type [ Year(Asc)]
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.
L. Lu, Ghoshal, A., and Renals, S., “Regularized Subspace Gaussian Mixture Models for Cross-lingual Speech Recognition”, in Proc IEEE ASRU, 2011.
L. Lu, Kong, L., Dyer, C., Smith, N. A., and Renals, S., “Segmental Recurrent Neural Networks for End-to-end Speech Recognition”, in Proc. INTERSPEECH.
L. Liang and Steve, R., “Small-footprint Deep Neural Networks with Highway Connections for Speech Recognition”, in Proc. INTERSPEECH.
L. Lu, Zhang, X., and Renais, S., “On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition”, in Proc. ICASSP.