all publications
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.
