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A list of all publications in all categories

This collection gives all the publications that are related to the mngu0 corpus in any way, regardless of what field/topic they are drawn from. 
Steiner (2010)
I. M. A. Steiner. Observations on the dynamic control of an articulatory synthesizer using speech production data. PhD thesis, Saarland University, Saarbrücken, Germany, 2010.
Steiner et al. (2012)
I. Steiner, K. Richmond, I. Marshall, and C. D. Gray. The magnetic resonance imaging subset of the mngu0 articulatory corpus. Journal of the Acoustical Society of America, 131(2):106-111, Feb. 2012. DOI:10.1121/1.3675459
Steiner et al. (2012)
I. Steiner, K. Richmond, and S. Ouni. Using multimodal speech production data to evaluate articulatory animation for audiovisual speech synthesis. In 3rd International Symposium on Facial Analysis and Animation, Vienna, Austria, 2012.
Steiner et al. (2013)
I. Steiner, K. Richmond, and S. Ouni. Speech animation using electromagnetic articulography as motion capture data. In Proc. 12th International Conference on Auditory-Visual Speech Processing, pages 55–60, Annecy, France, 2013.
Uria et al. (2011)
B. Uria, S. Renals and K. Richmond. "A deep neural network for acoustic-articulatory speech inversion." In NIPS 2011 Workshop on Deep Learning and Unsupervised Feature Learning, Sierra Nevada, Spain, December 2011.
Uria et al. (2012)
Benigno Uria, Iain Murray, Steve Renals, and Korin Richmond. Deep architectures for articulatory inversion. In Proc. Interspeech, Portland, Oregon, USA, September 2012.
Wu et al. (2014)
Z. Wu, K. Zhao, X. Wu, X. Lan, and H. Meng. Acoustic to articulatory mapping with deep neural network. Multimedia Tools and Applications, pages 1–19, 2014.
Zhao et al. (2010)
Tian-Yi Zhao, Zhen-Hua Ling, Ming Lei, Li-Rong Dai and Qing-Feng Liu. "Minimum generation error training for HMM-based prediction of articulatory movements." In Proc of the Chinese Spoken Language Processing (ISCSLP), 7th International Symposium on. China, December 2010
Zhao et al. (2013)
K. Zhao, Z. Wu, and L. Cai. A real-time speech driven talking avatar based on deep neural network. In Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2013 Asia- Pacific, pages 1–4. IEEE, 2013.
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