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Pitch enhancement motivated by rate-distortion theory

Author:
Moussa, O.A. , Minyue Li , Kleijn, W.B.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/ICCSP.2014.6950011
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1004431
Keyword(s): character sets,feature extraction,gradient methods,image recognition,natural scenes,text detection,HOG,distance metric feature extraction system,feature descriptor,histogram of oriented gradients,image centroid,line orientation,local binarization,natural scene images,nontext components,nonuniform illuminations,text detection,text extraction,text fonts,text image recognition,text region detector,zone centroid,Classification algorithms,Conferences,Image recognition,Image s
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    Pitch enhancement motivated by rate-distortion theory

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contributor authorMoussa, O.A. , Minyue Li , Kleijn, W.B.
date accessioned2020-03-12T20:10:07Z
date available2020-03-12T20:10:07Z
date issued2014
identifier other6854816.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1004431?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titlePitch enhancement motivated by rate-distortion theory
typeConference Paper
contenttypeMetadata Only
identifier padid8125773
subject keywordscharacter sets
subject keywordsfeature extraction
subject keywordsgradient methods
subject keywordsimage recognition
subject keywordsnatural scenes
subject keywordstext detection
subject keywordsHOG
subject keywordsdistance metric feature extraction system
subject keywordsfeature descriptor
subject keywordshistogram of oriented gradients
subject keywordsimage centroid
subject keywordsline orientation
subject keywordslocal binarization
subject keywordsnatural scene images
subject keywordsnontext components
subject keywordsnonuniform illuminations
subject keywordstext detection
subject keywordstext extraction
subject keywordstext fonts
subject keywordstext image recognition
subject keywordstext region detector
subject keywordszone centroid
subject keywordsClassification algorithms
subject keywordsConferences
subject keywordsImage recognition
subject keywordsImage s
identifier doi10.1109/ICCSP.2014.6950011
journal titlecoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
filesize265654
citations0
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