Author:
Ogawa Atsunori,Nakamura Atsushi
Subject
Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software
Reference32 articles.
1. A maximum entropy approach to natural language processing;Berger;Comput. Linguist.,1996
2. Burget, L., Schwarz, P., Matějka, P., Hannemann, M., Rastrow, A., White, C., Khudanpur, S., Hermansky, H., Černocký, J., 2008. Combination of strongly and weakly constrained recognizers for reliable detection of OOVs. In: Proc. ICASSP, pp. 4081–4084.
3. Chase, L., 1997. Word and acoustic confidence annotation for large vocabulary speech recognition. In: Proc. Eurospeech, pp. 815–818.
4. Fayolle, J., Moreau, F., Raymond, C., Gravier, G., Gros, P., 2010. CRF-based combination of contextual features to improve a posteriori word-level confidence measures. In: Proc. Interspeech, pp. 1492–1495.
5. Google Inc., 2011. Android Developers. /developer.android.com/>.
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Gait data analysis based on acceleration sensor;Proceedings of the 2020 2nd International Conference on Robotics, Intelligent Control and Artificial Intelligence;2020-10-17
2. Vibrational Artificial Subtle Expressions;Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems;2018-04-21
3. Audio–visual perception‐based multimodal HCI;The Journal of Engineering;2018-04
4. Response Times when Interpreting Artificial Subtle Expressions are Shorter than with Human-like Speech Sounds;Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems;2017-05-02
5. Estimating Speech Recognition Accuracy Based on Error Type Classification;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2016-12