Li Deng
Abstract
Although progress has been impressive, there are still several hurdles that speech recognition technology must clear before ubiquitous adoption can be realized. R&D in spontaneous and free-flowing speech style is critical to its success.
- DARPA's EARS Conference (Boston, MA, May 21--22, 2003).Google Scholar
- DARPA's EARS Kickoff Meeting (Vienna, VA, May 9--10, 2002).Google Scholar
- Datamonitor. Voice Automation---Past, Present, and Future. White Paper (July 2003).Google Scholar
- Deng, L., and O'Shaughnessy, D. Speech Processing---A Dynamic and Optimization-Oriented Approach. Marcel Dekker, NY, 2003.Google Scholar
- Deng, L. Wang, K., Acero, A., Hon, H., Droppo, J., Boulis, C., Wang, Y., Jacoby, D., Mahajan, M., Chelba, C., and Huang, X.D. Distributed speech processing in MiPad's multimodal user interface. IEEE Transactions on Speech and Audio 10 (2002), 605--619.Google ScholarCross Ref
- Furui, S. Recent progress in spontaneous speech recognition and understanding. In Proceedings of the IEEE Workshop on Multimedia Signal Processing (Dec. 2002).Google ScholarCross Ref
- Hirsch, H., and Pearce, D. The AURORA experimental framework for the performance evaluations of speech recognition systems under noisy conditions. ISCA ITRW Workshop on Automatic Speech Recognition (Paris, 2000).Google Scholar
- Huang, X.D., Acero, A., and Hon, H. Spoken Language Processing---A Guide to Theory, Algorithms, and System Development. Prentice Hall, NY, 2001. Google ScholarDigital Library
- Neti, C., Iyengar, G., Potamianos, G., Senior, A., and Maison, B. Perceptual interfaces for information interaction: Joint processing of audio and visual information for human-computer interaction. In the ICSLP Proceedings 1. (Beijing, 2000), 11--14.Google Scholar
- Oviatt, S. Breaking the robustness barrier: Recent progress on the design of robust multimodal systems. Advances in Computers. M. Zelkowitz, Ed. Academic Press, 2002, 305--341.Google Scholar
- Zhang, Y. et al. Air- and bone-conductive integrated microphones for robust speech detection and enhancement. In Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding. (St. Thomas, U.S. Virgin Islands, Dec, 2003.)Google Scholar
Index Terms
- Challenges in adopting speech recognition
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