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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.
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.
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.
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.
X. Liu, Chen, X., Gales, M., and Woodland, P., Paraphrastic Recurrent Neural Network Language Models, in Proc. ICASSP, Brisbane, Australia, 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.
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.
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.
M. Wester, Corley, M., and Dall, R., The Temporal Delay Hypothesis: Natural, Vocoded and Synthetic Speech, in Proc. of DiSS 2015, Edinburgh, 2015.

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