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Author Title Type [ Year(Asc)]
2013
L. Lu, Ghoshal, A., and Renals, S., Acoustic Data-driven Pronunciation Lexicon for Large Vocabulary Speech Recognition, in Proc. IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013.
O. Saz and Hain, T., Asynchronous factorisation of speaker and background with feature transforms in speech recognition, in Proceedings of Interspeech 2013, Lyon, France, 2013.
P. Lanchantin, Bell, P. - J., Gales, M. - J. - F., Hain, T., Liu, X., Long, Y., Quinnell, J., Renals, S., Saz, O., Seigel, M. - S., Swietojanski, P., and Woodland, P. - C., Automatic Transcription of Multi-genre Media Archives, in Proceedings of SLAM Workshop, Marseille, France, 2013.
M. Shannon, Zen, H., and Byrne, W., Autoregressive models for statistical parametric speech synthesis, IEEE Trans. Audio Speech Language Process., vol. 21, pp. 587–597, 2013.
H. Lu, King, S., and Watts, O., Combining a Vector Space Representation of Linguistic Context with a Deep Neural Network for Text-To-Speech Synthesis, in 8th ISCA Workshop on Speech Synthesis, Barcelona, Spain, 2013, pp. 281–285.
H. Christensen, Aniol, M. B., Bell, P., Green, P., Hain, T., King, S., and Swietojanski, P., Combining in-domain and out-of-domain speech data for automatic recognition of disordered speech, in Interspeech'13, 2013.
X. Liu, Gales, M., and Woodland, P., Cross-domain Paraphrasing For Improving Language Modelling Using Out-of-domain Data, in ISCA Interspeech2013, Lyon, France, 2013.
J. Driesen, Bell, P., and Renals, S., Description of the UEDIN system for German ASR, in Proc. IWSLT, 2013.
D. M. González, Green, P., and Christensen, H., Dysarthria Intelligibility Assessment in a Factor Analysis Total Variability Space, in Interspeech'13, 2013.
H. Lu and King, S., FACTORIZED CONTEXT MODELLING FOR TEXT-TO-SPEECH SYNTHESIS, in Proc ICASSP 2013, Vancouver, Canada, 2013.
M. Shannon and Byrne, W., Fast, low-artifact speech synthesis considering global variance, in Proc. ICASSP 2013, Vancouver, Canada, 2013.
R. Rasipuram, Bell, P., and Magimai.-Doss, M., Grapheme and multilingual posterior features for under-resourced speech recognition: a study on Scottish Gaelic, in Proc. ICASSP, Vancouver, Canada, 2013.
H. Christensen, Cunningham, S., Green, P., and Hain, T., homeService: Voice-enabled assistive technology in the home using cloud-based automatic speech recognition, in 4th Workshop on Speech and Language Processing (SLPAT), 2013.
P. Swietojanski, Ghoshal, A., and Renals, S., HYBRID ACOUSTIC MODELS FOR DISTANT AND MULTICHANNEL LARGE VOCABULARY SPEECH RECOGNITION, in Proc. IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), 2013.
Y. Long, Gales, M. J. F., Lanchantin, P., Liu, X., Seigel, M. S., and Woodland, P. C., Improving Lightly Supervised Training for Broadcast Transcriptions, in Interspeech 2013, 2013.
T. Merritt and King, S., Investigating the shortcomings of HMM synthesis, in 8th ISCA Workshop on Speech Synthesis, Barcelona, Spain, 2013, pp. 185–190.
L. Lu, Chin, K. K., Ghoshal, A., and Renals, S., Joint Uncertainty Decoding for Noise Robust Subspace Gaussian Mixture Models, IEEE Transactions on Audio, Speech and Language Processing, 2013.
H. Christensen, Green, P., and Hain, T., Learning speaker-specific pronunciations of disordered speech, in Interspeech'13, 2013.
P. Bell, Yamamoto, H., Swietojanski, P., Wu, Y., McInnes, F., Hori, C., and Renals, S., A lecture transcription system combining neural network acoustic and language models, in Proc. Interspeech, Lyon, France, 2013.

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