- Seema Shah 2012. Students are Best Judge of Teaching & Learning: A Case study of Technical Institutes of India. International Journal of Applied Information Systems. 3, 1 (July 2012), 34-37. DOI=http://dx.doi.org/10.5120/ijais450436
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@article{10.5120/ijais2017451568, author = {Seema Shah}, title = {Students are Best Judge of Teaching & Learning: A Case study of Technical Institutes of India}, journal = {International Journal of Applied Information Systems}, issue_date = {July 2012}, volume = {3}, number = {}, month = {July}, year = {2012}, issn = {}, pages = {34-37}, numpages = {}, url = {/archives/volume3/number1/198-0436}, doi = { http:/ijais12-450436}, publisher = { xA9 2010 by IJAIS Journal}, address = {} }
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%1 450436 %A Seema Shah %T Students are Best Judge of Teaching & Learning: A Case study of Technical Institutes of India %J International Journal of Applied Information Systems %@ %V 3 %N %P 34-37 %D 2012 %I xA9 2010 by IJAIS Journal
Abstract
This paper proposes fusion and addition techniques of vocal tract features such as Mel Frequency Cepstral Coefficients (MFCC) and Dynamic Mel Frequency Cepstral Coefficients (DMFCC) in speaker identification. Feature extraction plays an important role as a front end processing block in Speaker Identification (SI) process. Mel frequency features are used to extract the spectral characteristics of the speech such as formant frequency and the bandwidth of formant frequency. This feature estimation method leads to robust recognition performance. The Dynamic Mel frequency features are used to extract the dynamic behavior of the human vocal tract using pitch frequency. This work is focused to increase the identification accuracy with databases containing short length speech signal. Experimental evaluation is carried out on TIMIT database with 630 speakers using Gaussian Mixture Model (GMM).
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Keywords
Institutes, Students, Case Studies, Teaching & Learning, Punctuality, Clarity Of Expression, Communication, Courses And Classes