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Publications

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Author Title Type [ Year(Asc)]
2014
I. Casanueva, Christensen, H., Hain, T., and Green, P., "Adaptive speech recognition and dialogue management for users with speech disorders, in Proceedings of Interspeech'14, 2014.
P. Swietojanski, Ghoshal, A., and Renals, S., Convolutional Neural Networks for Distant Speech Recognition, Signal Processing Letters, IEEE, vol. 21, pp. 1120-1124, 2014.
L. Lu, Ghoshal, A., and Renals, S., Cross-lingual subspace Gaussian mixture model for low-resource speech recognition, IEEE Transactions on Audio, Speech and Language Processing, 2014.
X. Liu, Wang, Y., Chen, X., Gales, M., and Woodland, P., EFFICIENT LATTICE RESCORING USING RECURRENT NEURAL NETWORK LANGUAGE MODELS, in IEEE ICASSP2014, Florence, Italy, 2014.
P. Lanchantin, Gales, M. J. F., King, S., and Yamagishi, J., Multiple-Average-Voice-based Speech Synthesis, in Proc. ICASSP, 2014.
S. Renals and Swietojanski, P., Neural Networks for Distant Speech Recognition, in The 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA), 2014.
X. Liu, Gales, M., and Woodland, P., PARAPHRASTIC NEURAL NETWORK LANGUAGE MODELS, in IEEE ICASSP2014, Florence, Italy, 2014.
C. Zhang and Woodland, P. C., Standalone training of context-dependent deep neural network acoustic models, in IEEE ICASSP 2014, Florence, Italy, 2014.
O. Saz and Hain, T., Using Contextual Information in Joint Factor Eigenspace MLLR for Speech Recognition in Diverse Scenarios, in Proceedings of the 2014 ICASSP, Florence, Italy., 2014.
Y. Liu, Zhang, P., and Hain, T., Using neural network front-ends on far field multiple microphones based speech recognition, in ICASSP2014 - Speech and Language Processing (ICASSP2014 - SLTC), Florence, Italy, 2014.
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.

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