Frank R. Libsch, S.C. Lien
IBM J. Res. Dev
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.
Frank R. Libsch, S.C. Lien
IBM J. Res. Dev
Michael C. McCord, Violetta Cavalli-Sforza
ACL 2007
Zohar Feldman, Avishai Mandelbaum
WSC 2010
Xiaozhu Kang, Hui Zhang, et al.
ICWS 2008