Motivated by successful solutions developed in robust speech recognition, we in this paper propose a multi-style adaptive training method to improve the ...
We further study the robustness of this approach to another type of mismatch condition, caused by speech recognition errors, and demonstrate its success also.
Experimental results show that, without relying on any data in the second language, the proposed method significantly improves the performance on a ...
This greatly facilitates porting SLU to as many languages as there are MT systems without any human effort. We further study the robustness of this approach to ...
... Multi-style adaptive training for robust cross-lingual spoken language understanding. In: IEEE International Conference on Acoustics, Speech, and Signal ...
We propose an algorithm for the automatic segmentation and labeling of the recognized sentences considering the correct segmented and labeled data as reference.
This work proposes an algorithm for the automatic segmentation and labeling of the recognized sentences considering the correct segmented and labeled data ...
People also ask
What is the difference between multilingual and cross-lingual language modeling?
What is the cross-lingual approach?
Multi-Style Adaptive Training for Robust Cross-Lingual Spoken Language Understanding. Xiaodong He, Li Deng, Dilek Hakkani-Tür, Gokhan Tur. May 2013.
Tur, “Multi- style adaptive training for robust cross-lingual spoken language understanding,” in 2013 IEEE International. Conference on Acoustics, Speech and ...
Oct 25, 2015 · We propose an algorithm for the automatic segmentation and labeling of the recognized sentences considering the correct segmented and labeled ...