Robert G. Farrell, Catalina M. Danis, et al.
RecSys 2012
The large-vocabulary speech recognition algorithms for implementation of next-generation speech recognition applications are discussed. The lexicon, language model, and acoustic model component are used to construct a hypothesis model used for the interpretation of speech sample. The discussion shows that the word error rate for spontaneous speech sources remain relatively high and the advanced speech recognition (ASR) system remains sensitive to background noise.
Robert G. Farrell, Catalina M. Danis, et al.
RecSys 2012
Yao Qi, Raja Das, et al.
ISSTA 2009
Frank R. Libsch, Takatoshi Tsujimura
Active Matrix Liquid Crystal Displays Technology and Applications 1997
Yun Mao, Hani Jamjoom, et al.
CoNEXT 2006