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acoustic-articulatory mapping

Papers related to acoustic-articulatory (aka inversion) mapping

These papers deal with various approaches to the inversion mapping problem

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.
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.
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
Richmond (2009)
K. Richmond. "Preliminary inversion mapping results with a new EMA corpus." In Proc. Interspeech, pages 2835–2838, Brighton, UK, September 2009.
Ben Youssef et al. (2013)
A. Ben Youssef, H. Shimodaira, and D. A. Braude. Articulatory features for speech-driven head motion synthesis. In Proc. Interspeech, Lyon, France, August 2013.
Canevari et al. (2013)
C. Canevari, L. Badino, L. Fadiga, and G. Metta. Cross-corpus and cross-linguistic evaluation of a speaker-dependent DNN-HMM ASR system using EMA data. In Proc. Workshop on Speech Production in Automatic Speech Recognition (SPASR), Lyon, France, August 2013.
Ben Youssef et al. (2014)
A. Ben Youssef, H. Shimodaira, and D. Braude. Speech driven talking head from estimated articulatory features. In Proc. ICASSP, pages 4606–4610, Florence, Italy, May 2014.
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.
Richmond et al. (2013)
K. Richmond, Z. Ling, J. Yamagishi, and B. Uría. On the evaluation of inversion mapping performance in the acoustic domain. In Proc. Interspeech, Lyon, France, Aug 2013.
Ling et al. (2010b)
Zhen-Hua Ling, Korin Richmond, and Junichi Yamagishi. "An analysis of HMM-based prediction of articulatory movements." Speech Communication, 52(10):834-846, October 2010.
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.
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