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Speech Recognition of Offline Attendance System:A Review

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Sahil Arora, Nirvair Neeru
10.5120/ijca2016910150

Sahil Arora and Nirvair Neeru. Speech Recognition of Offline Attendance System:A Review. International Journal of Computer Applications 143(4):18-22, June 2016. BibTeX

@article{10.5120/ijca2016910150,
	author = {Sahil Arora and Nirvair Neeru},
	title = {Speech Recognition of Offline Attendance System:A Review},
	journal = {International Journal of Computer Applications},
	issue_date = {June 2016},
	volume = {143},
	number = {4},
	month = {Jun},
	year = {2016},
	issn = {0975-8887},
	pages = {18-22},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume143/number4/25066-2016910150},
	doi = {10.5120/ijca2016910150},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

This paper tells how the various steps are done while implementing speech recognition during offline attendance system in school , colleges etc. There are various stages through which the speech signal has to pass , and accordingly at each phase there applies different algorithm or functions depends upon its phase. Various approaches are also discussed to remove the noise in noisy environment from the speech signal. Lastly by passing through all the phases the required speech is compared with the database for its approval. The main theme of this paper is to compare and discuss various strategies while implementing speech recognition

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Keywords

Biometric, Signal Pre-processing, Feature Extraction, Normalization, Feature post- processing, Classification.