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[ Author(Desc)] Title Type Year
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and Yu, K., Multi-task joint-learning of deep neural networks for robust speech recognition, in Proc. ASRU’15, Scottsdale, Arizona, USA, 2016.
and Hain, T., Combining Feature and Model-Based Adaptation of RNNLMs for Multi-Genre Broadcast Speech Recognition, in Proceedings of the 17th Annual Conference of the International Speech Communication Association (Interspeech), San Francisco, California, USA, 2016.
, A., G., and S., R., Acoustic Data-driven Pronunciation Lexicon for Large Vocabulary Speech Recognition, in Proc. ASRU, 2013.
B
P. Bell and Renals, S., Complementary tasks for context-dependent deep neural network acoustic models, in Proc. Interspeech, 2015.
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. Bell, Swietojanski, P., and Renals, S., Multi-level adaptive networks in tandem and hybrid ASR systems, in Proc. ICASSP, Vancouver, Canada, 2013.
P. Bell, Gales, M., Hain, T., Kilgour, J., Lanchantin, P., Liu, A., McParland, A., Renals, S., Saz, O., Wester, M., and Woodland, P., The MGB Challenge: Evaluating Multi-genre Broadcast Media Recognition, in {Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)}, Scottsdale, AZ, 2015.
P. Bell and Renals, S., Regularization of context-dependent deep neural networks with context-independent multi-task training, in Proc. ICASSP, 2015.
P. Bell and Renals, S., A system for automatic alignment of broadcast media captions using weighted finite-state transducers, in Proc. ASRU, 2015.
P. Bell, McInnes, F., Gangireddy, S., Sinclair, M., Birch, A., and Renals, S., The UEDIN English ASR System for the IWSLT 2013 Evaluation, in Proc. IWSLT, Heidelberg, Germany, 2013.
P. Bell, Driesen, J., and Renals, S., Cross-lingual adaptation with multi-task adaptive networks, in Proc. Interspeech, 2014.
P. Bell, Lai, C., Llewellyn, C., Birch, A., and Sinclair, M., A system for automatic broadcast news summarisation, geolocation and translation, in Proc. Interspeech (demo session), Dresden, Germany, 2015.
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.
C
I. Casanueva, Hain, T., and Green, P., Improving generalisation to new speakers in spoken dialogue state tracking, in Proceedings of the 17th Annual Conference of the International Speech Communication Association (Interspeech), San Francisco, CA, 2016.
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.
A. Cervone, Lai, C., Pareti, S., and Bell, P., Towards automatic detection of reported speech in dialogue using prosodic cues, in Proc. Interspeech, Dresden, Germany, 2015.
X. Chen, Liu, X., Gales, M., and Woodland, P., Recurrent neural network language model training with noise contrastive estimation for speech recognition, in Proc. ICASSP, Brisbane, Australia, 2015.
X. Chen, Wang, Y., Liu, X., Gales, M., and Woodland, P., Efficient GPU-based training of recurrent neural network language models using spliced sentence bunch, in Proc. Interspeech, Singapore, 2014.
L. - H. Chen, Raitio, T., Valentini-Botinhao, C., Ling, Z., and Yamagishi, J., A Deep Generative Architecture for Postfiltering in Statistical Parametric Speech Synthesis, Audio, Speech, and Language Processing, IEEE/ACM Transactions on, vol. 23, pp. 2003-2014, 2015.
X. Chen, Liu, X., Gales, M., and Woodland, P., Improving the training and evaluation efficiency of recurrent neural network language models, in Proc. ICASSP, Brisbane, Australia, 2015.
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.
H. Christensen, Casanueva, I., Cunningham, S., Green, P., and Hain, T., Automatic Selection of Speakers for Improved Acoustic Modelling : Recognition of Disordered Speech with Sparse Data, in Spoken Language Technology Workshop, SLT'14, Lake Tahoe, 2014.
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.

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