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Publications

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Author Title Type [ Year(Asc)]
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.
A. Ali, Magdy, W., Bell, P., and Renals, S., Multi-reference WER for evaluating ASR for languages with no orthographic rules, in Proc. ASRU, 2015.
Y. Qian, Yin, M., You, Y., and Yu, K., Multi-task joint-learning of deep neural networks for robust speech recognition, in Proc. ASRU’15, Scottsdale, Arizona, USA, 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. Bell and Renals, S., Regularization of context-dependent deep neural networks with context-independent multi-task training, in Proc. ICASSP, 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.

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