You are here

Publications

Export 5 results:
Author Title [ Type(Desc)] Year
Conference Paper
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.
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.
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.
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.
H. Christensen, Cunningham, S., Fox, C., Green, P., and Hain, T., A comparative study of adaptive, automatic recognition of disordered speech, in Proc Interspeech 2012, Portland, Oregon, US, 2012.
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.
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.
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.
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.
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, 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.
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.
A. Stan, Bell, P., Yamagishi, J., and King, S., Lightly Supervised Discriminative Training of Grapheme Models for Improved Sentence-level Alignment of Speech and Text Data, in Proc. Interspeech, Lyon, France, 2013.
C. Fox and Hain, T., Lightly supervised learning from a damaged natural speech corpus, in Proc. IEEE ICASSP 2013, 2013.
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.

Pages