[{"main_file_link":[{"open_access":"1","url":"https://groups.uni-paderborn.de/nt/pubs/1993/ICASSP_1993_Haeb1_paper.pdf"}],"language":[{}],"uri_base":"https://ris.uni-paderborn.de","type":"conference","citation":{"chicago":"Aubert, Xavier L., Reinhold Haeb-Umbach, and Hermann Ney. “Continuous Mixture Densities and Linear Discriminant Analysis for Improved Context-Dependent Acoustic Models.” In ICASSP, Minneapolis, 1993.","apa":"Aubert, X. L., Haeb-Umbach, R., & Ney, H. (1993). Continuous Mixture Densities and Linear Discriminant Analysis for Improved Context-Dependent Acoustic Models. In ICASSP, Minneapolis.","bibtex":"@inproceedings{Aubert_Haeb-Umbach_Ney_1993, title={Continuous Mixture Densities and Linear Discriminant Analysis for Improved Context-Dependent Acoustic Models}, booktitle={ICASSP, Minneapolis}, author={Aubert, Xavier L. and Haeb-Umbach, Reinhold and Ney, Hermann}, year={1993} }","mla":"Aubert, Xavier L., et al. “Continuous Mixture Densities and Linear Discriminant Analysis for Improved Context-Dependent Acoustic Models.” ICASSP, Minneapolis, 1993.","short":"X.L. Aubert, R. Haeb-Umbach, H. Ney, in: ICASSP, Minneapolis, 1993.","ieee":"X. L. Aubert, R. Haeb-Umbach, and H. Ney, “Continuous Mixture Densities and Linear Discriminant Analysis for Improved Context-Dependent Acoustic Models,” in ICASSP, Minneapolis, 1993."},"_id":"11718","date_updated":"2022-01-06T06:51:07Z","oa":"1","creator":{"login":"tgburrek","id":"44006"},"department":[{"tree":[{"_id":"3"},{"_id":"34"},{"_id":"44"},{"_id":"43"}],"_id":"54"}],"publication":"ICASSP, Minneapolis","author":[{"first_name":"Xavier L.","last_name":"Aubert"},{"first_name":"Reinhold","last_name":"Haeb-Umbach","id":"242"},{"first_name":"Hermann","last_name":"Ney"}],"date_created":"2019-07-12T05:26:55Z","status":"public","dini_type":"doc-type:conferenceObject","abstract":[{"lang":"eng"}],"dc":{"identifier":["https://ris.uni-paderborn.de/record/11718"],"description":["Linear discriminant analysis (LDA) experiments reported previously (ICASSP-92 vol.1, p.13-16), are extended to context-dependent models and speaker-independent large vocabulary continuous speech recognition. Two variants of using mixture densities are compared: state-specific modeling and the monophone-tying approach where densities are shared across the states relevant to the same phoneme. Results are presented on the DARPA Resource Management (RM) task for both speaker-dependent (SD) and speaker-independent (SI) parts. Using triphone models based on LDA and continuous mixture densities, significant improvements have been observed and the following word error rates have been achieved: for the SD part, 7.8% without grammar and 1.5% with word pair; and for the SI part, 17.2% and 4.6%, respectively. These scores are averaged over 1200 SD or SI evaluation sentences and are among the best published so far on the RM database."],"date":["1993"],"source":["Aubert XL, Haeb-Umbach R, Ney H. Continuous Mixture Densities and Linear Discriminant Analysis for Improved Context-Dependent Acoustic Models. In: ICASSP, Minneapolis. ; 1993."],"creator":["Aubert, Xavier L.","Haeb-Umbach, Reinhold","Ney, Hermann"],"title":["Continuous Mixture Densities and Linear Discriminant Analysis for Improved Context-Dependent Acoustic Models"],"rights":["info:eu-repo/semantics/openAccess"],"language":["eng"],"type":["info:eu-repo/semantics/conferenceObject","doc-type:conferenceObject","text","http://purl.org/coar/resource_type/c_5794"]},"user_id":"44006"}]