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DWT and LPC based feature extraction methods for isolated word recognition

Overview of attention for article published in EURASIP Journal on Audio, Speech, and Music Processing, January 2012
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Citations

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67 Mendeley
Title
DWT and LPC based feature extraction methods for isolated word recognition
Published in
EURASIP Journal on Audio, Speech, and Music Processing, January 2012
DOI 10.1186/1687-4722-2012-7
Authors

Navnath S Nehe, Raghunath S Holambe

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 3%
Russia 2 3%
France 1 1%
Colombia 1 1%
Canada 1 1%
Indonesia 1 1%
Unknown 59 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 24%
Researcher 10 15%
Student > Master 9 13%
Student > Bachelor 7 10%
Student > Doctoral Student 4 6%
Other 12 18%
Unknown 9 13%
Readers by discipline Count As %
Engineering 27 40%
Computer Science 20 30%
Mathematics 3 4%
Physics and Astronomy 2 3%
Arts and Humanities 1 1%
Other 2 3%
Unknown 12 18%