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Publications

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Author Title Type [ Year(Asc)]
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.
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.
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. 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.
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.

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