TY - GEN
T1 - Discriminative language modeling for speech recognition with relevance information
AU - Chen, Berlin
AU - Liu, Jia Wen
PY - 2011
Y1 - 2011
N2 - Discriminative language modeling (DLM) attempts to improve speech recognition performance by reranking the recognition hypotheses output from a baseline system. Most of the existing DLM methods assume that the reranking task can be treated as a linear discrimination problem and all testing utterances share the same parameter vector for reranking of hypotheses. However, the latter assumption sometimes results in a trained DLM model with weak generalizability and unsatisfactory performance. In view of this problem, we hence propose a relevance-based DLM (RDLM) framework that can efficiently infer the DLM model parameters of each testing utterance on-the-fly for better recognition performance. The structures and characteristics of the RDLM framework are extensively investigated, while the performance is thoroughly analyzed and verified by comparison with the existing DLM methods.
AB - Discriminative language modeling (DLM) attempts to improve speech recognition performance by reranking the recognition hypotheses output from a baseline system. Most of the existing DLM methods assume that the reranking task can be treated as a linear discrimination problem and all testing utterances share the same parameter vector for reranking of hypotheses. However, the latter assumption sometimes results in a trained DLM model with weak generalizability and unsatisfactory performance. In view of this problem, we hence propose a relevance-based DLM (RDLM) framework that can efficiently infer the DLM model parameters of each testing utterance on-the-fly for better recognition performance. The structures and characteristics of the RDLM framework are extensively investigated, while the performance is thoroughly analyzed and verified by comparison with the existing DLM methods.
KW - Discriminative Training
KW - Language Modeling
KW - Perceptron Method
KW - Reranking
KW - Speech Recognition
UR - http://www.scopus.com/inward/record.url?scp=80155159173&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80155159173&partnerID=8YFLogxK
U2 - 10.1109/ICME.2011.6012004
DO - 10.1109/ICME.2011.6012004
M3 - Conference contribution
AN - SCOPUS:80155159173
SN - 9781612843490
T3 - Proceedings - IEEE International Conference on Multimedia and Expo
BT - Electronic Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011
T2 - 2011 12th IEEE International Conference on Multimedia and Expo, ICME 2011
Y2 - 11 July 2011 through 15 July 2011
ER -