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請用此 Handle URI 來引用此文件: http://scholars.ntou.edu.tw/handle/123456789/17076
DC 欄位值語言
dc.contributor.authorJung-Hua Wangen_US
dc.contributor.authorJia-Hon Linen_US
dc.date.accessioned2021-06-09T07:18:43Z-
dc.date.available2021-06-09T07:18:43Z-
dc.date.issued1995-11-
dc.identifier.urihttp://scholars.ntou.edu.tw/handle/123456789/17076-
dc.description.abstractAn adaptive spatiotemporal neural network (ASTNN) capable of performing a near Bayesian speech recognizer is proposed. A tuning algorithm is introduced in the ASTNN to adjust the threshold parameters in order to maximize the discrimination distance between competing patterns. The highly confusable English E-set (b, c, d, e, g, p, t, v, z) is used to demonstrate the efficiency of the ASTNN. We show that the recognition rate can reach 80% for single-speaker and 68% for multispeaker respectively.en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.titleAdaptive spatiotemporal neural network for speech recognitionen_US
dc.typeconference paperen_US
dc.relation.conferenceProceedings of ICNN'95 - International Conference on Neural Networksen_US
dc.relation.conferencePerth, WA, Australiaen_US
dc.identifier.doi10.1109/ICNN.1995.488191-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.cerifentitytypePublications-
item.languageiso639-1en-
item.fulltextno fulltext-
item.grantfulltextnone-
item.openairetypeconference paper-
crisitem.author.deptCollege of Electrical Engineering and Computer Science-
crisitem.author.deptDepartment of Electrical Engineering-
crisitem.author.deptNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgNational Taiwan Ocean University,NTOU-
crisitem.author.parentorgCollege of Electrical Engineering and Computer Science-
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