T.  Merritt, Clark, R. A. J., Wu, Z., Yamagishi, J., and King, S., ?Deep neural network-guided unit selection synthesis?, in Proc. ICASSP, 2016.

C.  Zhang and Woodland, P. C., ?DNN Speaker Adaptation using Parameterised Sigmoid and ReLU Hidden Activation Functions?, in Proc. ICASSP'16, Shanghai, China, 2016.

M.  Nicolao, Christensen, H., Cunningham, S., Green, P., and Hain, T., ?A framework for collecting realistic recordings of dysarthric speech - the homeService corpus?, in The International Conference on Language Resources and Evaluation - LREC 2016, Portoro?, SLO, 2016.

O.  Watts, Henter, G. Eje, Merritt, T., Wu, Z., and King, S., ?From HMMs to DNNs: where do the improvements come from??, in Proc. ICASSP, Shanghai, China, 2016, vol. 41.

L.  Wang, Zhang, C., Woodland, P. C., Gales, M. J. F., Karanasou, P., Lanchantin, P., Liu, X., and Qian, Y., ?Improved DNN-based Segmentation for Multi-genre Broadcast Audio?, in Proc. ICASSP'16, Shanghai, China, 2016.

G. Eje Henter, Ronanki, S., Watts, O., Wester, M., Wu, Z., and King, S., ?Robust TTS duration modelling using DNNs?, in Proc. ICASSP, Shanghai, China, 2016, vol. 41.

P.  Swietojanski and Renals, S., ?SAT-LHUC: Speaker Adaptive Training for Learning Hidden Unit Contributions?, in Proc. IEEE ICASSP, Shanghai, China, 2016.

R. W. M.  Ng, Nicolao, M., Saz, O., Hasan, M., Chettri, B., Doulaty, M., Lee, T., and Hain, T., ?Sheffield LRE 2015 System Description}?, in {Odyssey: The Speaker and Language Recognition Workshop (Submitted)}, 2016.

J.  Yang, Zhang, C., Ragni, A., Gales, M. J. F., and Woodland, P. C., ?System Combiantion with Log-linear Models?, in Proc. ICASSP'16, Shanghai, China, 2016.

R.  Dall, Brognaux, S., Richmond, K., Valentini-Botinhao, C., Henter, G. Eje, Hirschberg, J., Yamagishi, J., and King, S., ?Testing the consistency assumption: Pronunciation variant forced alignment in read and spontaneous speech synthesis?, in Proc. ICASSP, Shanghai, China, 2016, vol. 41.

R.  Milner, Saz, O., Deena, S., Doulaty, M., Ng, R., and Hain, T., ?The 2015 Sheffield System for Longitudinal Diarisation of Broadcast Media?, in {Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)}, Scottsdale, AZ, 2015.

O.  Saz, Doulaty, M., Deena, S., Milner, R., Ng, R., Hasan, M., Liu, Y., and Hain, T., ?The 2015 Sheffield System for Transcription of Multi?Genre Broadcast Media?, in {Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)}, Scottsdale, AZ, 2015.

M.  Wester, Valentini-Botinhao, C., and Henter, G. Eje, ?Are we using enough listeners? No! An empirically-supported critique of Interspeech 2014 TTS evaluations?, in Proc. of Interspeech, Dresden, 2015.

M.  Wester, Aylett, M., Tomalin, M., and Dall, R., ?Artificial Personality and Disfluency?, in Proc. of Interspeech, Dresden, 2015.

T.  Merritt, Latorre, J., and King, S., ?Attributing modelling errors in HMM synthesis by stepping gradually from natural to modelled speech?, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, 2015.

P. C.  Woodland, Liu, X., Qian, Y., Zhang, C., Gales, M. J. F., Karanasou, P., Lanchantin, P., and Wang, L., ?Cambridge University Transcription Systems for the Multi-Genre Broadcast Challenge?, in Proc. of ASRU, Scottsdale, USA, 2015.

M.  Doulaty, Saz, O., and Hain, T., ?Data-selective Transfer Learning for Multi-Domain Speech Recognition?, in Proceedings of the 16th Annual Conference of the International Speech Communication Association (Interspeech), Dresden, Germany, 2015.

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.

T.  Merritt, Yamagishi, J., Wu, Z., Watts, O., and King, S., ?Deep neural network context embeddings for model selection in rich-context HMM synthesis?, in Proc. Interspeech, Dresden, Germany, 2015, pp. 2207?2211.

Z.  Wu, Valentini-Botinhao, C., Watts, O., and King, S., ?Deep neural networks employing multi-task learning and stacked bottleneck features for speech synthesis?, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015.

P.  Swietojanski and Renals, S., ?Differentiable Pooling for Unsupervised Speaker Adaptation?, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015.

R.  Dall, Wester, M., and Corley, M., ?Disfluencies in change detection in natural, vocoded and synthetic speech?, in Proc. of DiSS 2015, Edinburgh, 2015.

N.  Obin, Veaux, C., and Lanchantin, P., Exploiting Alternatives for Text-To-Speech Synthesis: From Machine to Human. Springer Verlag, 2015, pp. 189-202.

L.  Lu and Renals, S., ?Feature-space Speaker Adaptation for Probabilistic Linear Discriminant Analysis Acoustic Models?, in Proc. INTERSPEECH, 2015.

C.  Zhang and Woodland, P. C., ?A General Artificial Neural Network Extension for HTK?, in Proc. Interspeech'15, Dresden, Germany, 2015.

M.  Wester, Wu, Z., and Yamagishi, J., ?Human vs Machine Spoofing Detection on Wideband and Narrowband Data?, in Proc. of Interspeech, Dresden, 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.

D.  Martínez, Lleida, E., Green, P., Christensen, H., Ortega, A., and Miguel, A., ?Intelligibility Assessment and Speech Recognizer Word Accuracy Rate Prediction for Dysarthric Speakers in a Factor Analysis Subspace?, ACM Transactions on Accessible Computing (TACCESS), vol. 6, p. 10, 2015.

Y.  Liu, Karanasou, P., and Hain, T., ?An Investigation Into Speaker Informed DNN Front-end for LVCSR?, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015.

P.  Karanasou, Gales, M., and Woodland, P., ?I-Vector Estimation Using Informative Priors for Adaptation of Deep Neural Networks?, in Proc. of Interspeech, 2015.

M.  Doulaty, Saz, O., Ng, R. W. M., and Hain, T., ?Latent Dirichlet Allocation Based Organisation of Broadcast Media Archives for Deep Neural Network Adaptation?, in Proc. of ASRU, Arizona, USA, 2015.

M.  Tomalin, Wester, M., Dall, R., Byrne, B., and King, S., ?A Lattice-based Approach to Automatic Filled Pause Insertion?, in Proc. of DiSS 2015, Edinburgh, 2015.

Q.  Hu, Stylianou, Y., Maia, R., Richmond, K., and Yamagishi, J., ?Methods for applying dynamic sinusoidal models to statistical parametric speech synthesis?, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015.

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.

B.  Uria, Murray, I., Renals, S., and Valentini-Botinhao, C., ?Modelling acoustic feature dependencies with artificial neural networks: Trajectory-RNADE?, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015.

C.  Wu and Gales, M., ?MULTI-BASIS ADAPTIVE NEURAL NETWORK FOR RAPID ADAPTATION IN SPEECH RECOGNITION?, in Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on, 2015.

L.  Lu and Renals, S., ?Multi-frame factorisation for long-span acoustic modelling?, in Proc. ICASSP, 2015.

C.  Zhang and Woodland, P. C., ?Parameterised Sigmoid and ReLU Hidden Activation Functions for DNN Acoustic Modelling?, in Proc. Interspeech'15, Dresden, Germany, 2015.

X.  Liu, Chen, X., Gales, M., and Woodland, P., ?Paraphrastic Recurrent Neural Network Language Models?, in Proc. ICASSP, Brisbane, Australia, 2015.

P.  Lanchantin, Veaux, C., Gales, M. J. F., King, S., and Yamagishi, J., ?Reconstructing Voices Within the Multiple-Average-Voice-Model Framework?, Interspeech. 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.

P.  Karanasou, Gales, M. J. F., Lanchantin, P., Liu, X., Wang, L., Qian, Y., and Zhang, C., ?Speaker Diarisation and Longitudinal Linking in Multi-Genre Broadcast Data?, in Proc. of ASRU, Scottsdale, USA, 2015.

N.  Obin and Lanchantin, P., ?Symbolic Modelling of Speech Prosody: From Linguistics to Statistics?, IEEE Transactions on Audio, Speech, and Language Processing, vol. 23, 2015.

Z.  Wu, Khodabakhsh, A., Demiroglu, C., Yamagishi, J., Saito, D., Toda, T., and King, S., ?SAS: A speaker verification spoofing database containing diverse attacks?, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2015.

H.  Christensen, Nicolao, M., Cunningham, S., Deena, S., Green, P., and Hain, T., ?Speech-Enabled Environmental Control in an AAL setting for people with Speech Disorders: a Case Study?, in IET International Conference on Technologies for Active and Assisted Living, London, UK, 2015.

P.  Swietojanski, Bell, P., and Renals, S., ?Structured Output Layer with Auxiliary Targets for Context-Dependent Acoustic Modelling?, in Proc. Interspeech, Dresden, Germany, 2015.

L.  Lu, Zhang, X., Cho, K. H., and Renals, S., ?A Study of the Recurrent Neural Network Encoder-Decoder for Large Vocabulary Speech Recognition?, in Proc. INTERSPEECH, 2015.

P.  Lanchantin, Karanasou, P., Gales, M. J. F., Liu, X., Wang, L., Qian, Y., and Zhang, C., ?The Development of the Cambridge University Alignment Systems for the Multi-Genre Broadcast Challenge?, in Proc. of ASRU, Scottsdale, USA, 2015.

M.  Wester, Corley, M., and Dall, R., ?The Temporal Delay Hypothesis: Natural, Vocoded and Synthetic Speech?, in Proc. of DiSS 2015, Edinburgh, 2015.

C.  Valentini-Botinhao, Wu, Z., and King, S., ?Towards minimum perceptual error training for DNN-based speech synthesis?, in Proc. Interspeech, Dresden, Germany, 2015.

M.  Doulaty, Saz, O., and Hain, T., ?Unsupervised Domain Discovery using Latent Dirichlet Allocation for Acoustic Modelling in Speech Recognition?, in Proceedings of the 16th Annual Conference of the International Speech Communication Association (Interspeech), Dresden, Germany, 2015.

P.  Karanasou, Wang, Y., Gales, M., and Woodland, P., ?Adaptation of Deep Neural Network Acoustic Models Using Factorised I-vectors?, in Proceedings of Interspeech?14, 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.

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.

O.  Saz, Doulaty, M., and Hain, T., ?Background-Tracking Acoustic Features for Genre Identification of Broadcast Shows?, in Proceedings of the 2014 Spoken Language Technology (SLT) Workshop, South Lake Tahoe NV, USA, 2014, pp. 118?123.

O.  Saz, Doulaty, M., and Hain, T., ?Background-tracking acoustic features for genre identification of broadcast shows?, in Proceedings of the 2014 IEEE Spoken Language Technology Workshop (SLT), South Lake Tahoe, NV, 2014, pp. 118?123.

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.

R.  Dall, Wester, M., and Corley, M., ?The Effect of Filled Pauses and Speaking Rate on Speech Comprehension in Natural, Vocoded and Synthetic Speech?, in Proceedings of Interspeech, 2014.

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.

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.

M. P.  Aylett, Dall, R., Ghoshal, A., Henter, G. Eje, and Merritt, T., ?A Flexible Front-End for HTS?, in Proc. Interspeech, Singapore, 2014.

R.  Dall, Tomalin, M., Wester, M., Byrne, W., and King, S., ?Investigating Automatic & Human Filled Pause Insertion for Speech Synthesis?, in Proceedings of Interspeech, 2014.

T.  Merritt, Raitio, T., and King, S., ?Investigating source and filter contributions, and their interaction, to statistical parametric speech synthesis?, in Proc. Interspeech, Singapore, 2014, pp. 1509?1513.

P.  Swietojanski and Renals, S., ?Learning Hidden Unit Contributions for Unsupervised Speaker Adaptation of Neural Network Acoustic Models?, in Proc. IEEE Workshop on Spoken Language Technology, Lake Tahoe, USA, 2014.

G. Eje Henter, Merritt, T., Shannon, M., Mayo, C., and King, S., ?Measuring the perceptual effects of modelling assumptions in speech synthesis using stimuli constructed from repeated natural speech?, in Proceedings of Interspeech, Singapore, 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 language models?, Computer Speech & Language, vol. 28, pp. 1298?1316, 2014.

X.  Liu, Gales, M., and Woodland, P., ?PARAPHRASTIC NEURAL NETWORK LANGUAGE MODELS?, in IEEE ICASSP2014, Florence, Italy, 2014.

L.  Lu and Renals, S., ?Probabilistic Linear Discriminant Analysis for Acoustic Modelling?, IEEE Signal Processing Letters, vol. 21, pp. 702-706, 2014.

L.  Lu and Renals, S., ?Probabilistic linear discriminant analysis with bottleneck features for speech recognition?, in Proc. INTERSPEECH, 2014.

P.  Zhang, Liu, Y., and Hain, T., ?Semi-Supervised DNN Training in Meeting Recognition?, presented at the December, South Lake Tahoe, USA, 2014.

 and Zhang, C., ?Speaker Diarisation and Longitudinal Linking in Multi-Genre Broadcast Data?, Proc. of ASRU. 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 International Conference on Acoustic, Speech and Signal Processing (ICASSP)}, Florence, Italy, 2014, pp. 6314?6318.

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.

C.  Valentini-Botinhao and Wester, M., ?Using linguistic predictability and the Lombard effect to increase the intelligibility of synthetic speech in noise?, in Proceedings of Interspeech, 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.

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.

, A., G., and S., R., ?Acoustic Data-driven Pronunciation Lexicon for Large Vocabulary Speech Recognition?, in Proc. ASRU, 2013.

O.  Saz and Hain, T., ?Asynchronous Factorisation of Speaker and Background with Feature Transforms in Speech Recognition?, in {Proceedings of the 14th Annual Conference of the International Speech Communication Association (Interspeech)}, Lyon, France, 2013, pp. 1238?1242.

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 the First Workshop on Speech, Language and Audio in Multimedia}, Marseille, France, 2013, pp. 26?31.

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.

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.

P.  Bell, Swietojanski, P., and Renals, S., ?Multi-level adaptive networks in tandem and hybrid ASR systems?, in Proc. ICASSP, Vancouver, Canada, 2013.

A.  Ghoshal, Swietojanski, P., and Renals, S., ?Multilingual training of deep neural networks?, in Proc. ICASSP, 2013.

L.  Lu, Ghoshal, A., and Renals, S., ?Noise adaptive training for subspace Gaussian mixture models?, in INTERSPEECH, 2013.

X.  Liu, Gales, M., and Woodland, P., ?PARAPHRASTIC LANGUAGE MODELS AND COMBINATION WITH NEURAL NETWORK LANGUAGE MODELS?, in IEEE ICASSP2013, Vancouver, Canada, 2013.

P.  Swietojanski, Ghoshal, A., and Renals, S., ?Revisiting Hybrid and GMM-HMM system combination techniques?, in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013.

K.  Veselý, Ghoshal, A., Burget, L., and Povey, D., ?Sequence-discriminative training of deep neural networks?, in INTERSPEECH, 2013.

C. W.  Fox, Liu, Y., Zwyssig, E., and Hain, T., ?The Sheffield Wargames Corpus.?, in Proceedings of Interspeech 2013, Lyon, France, 2013.

C.  Veaux, Yamagishi, J., and King, S., ?Towards Personalized Synthesized Voices for Individuals with Vocal Disabilities: Voice Banking and Reconstruction?, in SLPAT 2013, 4th Workshop on Speech and Language Processing for Assistive Technologies, 2013, pp. 107?111.

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.

C.  Valentini-Botinhao, Wester, M., Yamagishi, J., and King, S., ?Using neighbourhood density and selective SNR boosting to increase the intelligibility of synthetic speech in noise?, in 8th ISCA Workshop on Speech Synthesis, Barcelona, Spain, 2013, pp. 133?138.

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.

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.

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.

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.

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.