{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,15]],"date-time":"2025-04-15T06:11:59Z","timestamp":1744697519136},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Neur. Syst."],"published-print":{"date-parts":[[1996,3]]},"abstract":"<jats:p> In this paper, we extend the Hierarchical Mixture of Experts (HME) to temporal processing and explore it for a substantial problem, that of text-dependent speaker identification. For a specific multiway classification, we propose a generalized Bernoulli density instead of the multinomial logit density to avoid the instability during training. Time-delay technique is applied for spatio-temporal processing in the HME and a combining scheme is presented for combining multiple time-delay HMEs in order to complete a multi-scale analysis for the temporal data. Using the time-delay HME along with the EM algorithm as well as the combination of multiple time-delay HMEs, the speaker identification system has a good performance and yields significantly fast training. We have also addressed some issues about the time-delay techniques in the HME. <\/jats:p>","DOI":"10.1142\/s012906579600004x","type":"journal-article","created":{"date-parts":[[2004,10,22]],"date-time":"2004-10-22T11:32:49Z","timestamp":1098444769000},"page":"29-43","source":"Crossref","is-referenced-by-count":14,"title":["SPEAKER IDENTIFICATION USING TIME-DELAY HMEs"],"prefix":"10.1142","volume":"07","author":[{"given":"KE","family":"CHEN","sequence":"first","affiliation":[{"name":"National Lab of Machine Perception and Center for Information Science, Peking University, Beijing 100871, China"}]},{"given":"DAHONG","family":"XIE","sequence":"additional","affiliation":[{"name":"National Lab of Machine Perception and Center for Information Science, Peking University, Beijing 100871, China"}]},{"given":"HUISHENG","family":"CHI","sequence":"additional","affiliation":[{"name":"National Lab of Machine Perception and Center for Information Science, Peking University, Beijing 100871, China"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal of Neural Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S012906579600004X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T01:49:50Z","timestamp":1565142590000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S012906579600004X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1996,3]]},"references-count":0,"journal-issue":{"issue":"01","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1996,3]]}},"alternative-id":["10.1142\/S012906579600004X"],"URL":"https:\/\/doi.org\/10.1142\/s012906579600004x","relation":{},"ISSN":["0129-0657","1793-6462"],"issn-type":[{"value":"0129-0657","type":"print"},{"value":"1793-6462","type":"electronic"}],"subject":[],"published":{"date-parts":[[1996,3]]}}}