Sonia Cafieri, Jon Lee, et al.
Journal of Global Optimization
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.
Sonia Cafieri, Jon Lee, et al.
Journal of Global Optimization
Khalid Abdulla, Andrew Wirth, et al.
ICIAfS 2014
John M. Boyer, Charles F. Wiecha
DocEng 2009
Charles H. Bennett, Aram W. Harrow, et al.
IEEE Trans. Inf. Theory