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The research proposed here is for an Arabic speech recognition application, concentrating on the Lebanese dialect. The system starts by sampling the speech, which is the process of transforming the sound from analog to digital and then extracts the features by using the Mel-Frequency Cepstral Coeffi...
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| Format: | article |
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2007
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| Online Access: | http://hdl.handle.net/10725/2320 http://dx.doi.org/10.3844/ajassp.2007.23.32 http://ku7rj9xt8c.scholar.serialssolutions.com/?sid=google&auinit=RA&aulast=Haraty&atitle=CASRA%2B:+A+colloquial+arabic+speech+recognition+application&id=doi:10.3844/ajassp.2007.23.32&title=American+journal+of+applied+sciences&volume=4&issue=1&date=2007&spage=23&issn=1546-9239 |
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Internet
http://hdl.handle.net/10725/2320http://dx.doi.org/10.3844/ajassp.2007.23.32
http://ku7rj9xt8c.scholar.serialssolutions.com/?sid=google&auinit=RA&aulast=Haraty&atitle=CASRA%2B:+A+colloquial+arabic+speech+recognition+application&id=doi:10.3844/ajassp.2007.23.32&title=American+journal+of+applied+sciences&volume=4&issue=1&date=2007&spage=23&issn=1546-9239