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dc.contributor.authorJadhav, Aarti V.
dc.contributor.authorPawar, Rupali V.
dc.date.accessioned2012-08-22T04:11:50Z
dc.date.available2012-08-22T04:11:50Z
dc.date.issued2012-02-27
dc.identifier.citationp. 99-103en_US
dc.identifier.isbn978-145771989-9
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6178963
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/20727
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractSpeech recognition is an important application that enables interaction of human beings with machines. The various stages in speech recognition system are pre-emphasis, feature extraction and recognition stage. This paper emphasizes on existing techniques in each of these stages of speech recognition system and elaborates on their comparison.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Biomedical Engineering (ICoBE 2012)en_US
dc.subjectFixed Frame Size and Rate (FFSR)en_US
dc.subjectVariable Frame size and Rate (VFSR)en_US
dc.subjectMultiple Frame Size and Rate (MFSR)en_US
dc.subjectDynamic Time Warping (DTW)en_US
dc.subjectHidden Markov model (HMM)en_US
dc.titleReview of various approaches towards speech recognitionen_US
dc.typeWorking Paperen_US
dc.contributor.urlaaarti123_vj@yahoo.co.inen_US


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