A two-level classification scheme for CDHMM-based discrete-utterance recognition

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dc.contributor.authorNouza, Jan
dc.date.accessioned2016-07-08
dc.date.available2016-07-08
dc.date.issued1996
dc.description.abstractIn the paper a method or speeding up the response of a CDHMM based speech recognition system is introduced. The method, applicable for the recognition of discrete utterances, uses a two-level classification scheme. It consists in a fast match done with simplified models, followed by a final accurate match with a limited number of selected standard models. In this way the recognition time can be reduced by great deal without any significant loss of recognition accuracy. The method has been successfully applied in the design of real-time speech recognition systems operating with small and middle-size vocabularies.en
dc.formattext
dc.identifier.issn1210-2512
dc.identifier.scopus2-s2.0-84898804794
dc.identifier.urihttps://dspace.tul.cz/handle/15240/16589
dc.identifier.urihttps://dspace.vutbr.cz/xmlui/handle/11012/58406
dc.language.isoen
dc.publisherCzech Technical University
dc.relation.ispartofRadioengineering
dc.sourcej-scopus
dc.subjectContinuous density HMMen
dc.subjectHidden markov modelen
dc.subjectSpeech recognitionen
dc.titleA two-level classification scheme for CDHMM-based discrete-utterance recognitionen
dc.typearticle
local.accessopen access
local.citation.epage28
local.citation.spage25
local.departmentDepartment of Electrical Engineering
local.facultyFaculty of Mechatronics, Informatics and Interdisciplinary Studies
local.fulltextyes
local.notenefunguje RIV
local.relation.issue1
local.relation.volume5
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