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.
- 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.
- 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
- 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.
- Richmond (2009)
- K. Richmond. "Preliminary inversion mapping results with a new EMA corpus." In Proc. Interspeech, pages 2835–2838, Brighton, UK, September 2009.
- 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.