International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 120 - Issue 16 |
Published: June 2015 |
Authors: Ajay Kadam, Ramesh M. Kagalkar |
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Ajay Kadam, Ramesh M. Kagalkar . Audio Scenarios Detection Technique. International Journal of Computer Applications. 120, 16 (June 2015), 33-37. DOI=10.5120/21314-4297
@article{ 10.5120/21314-4297, author = { Ajay Kadam,Ramesh M. Kagalkar }, title = { Audio Scenarios Detection Technique }, journal = { International Journal of Computer Applications }, year = { 2015 }, volume = { 120 }, number = { 16 }, pages = { 33-37 }, doi = { 10.5120/21314-4297 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2015 %A Ajay Kadam %A Ramesh M. Kagalkar %T Audio Scenarios Detection Technique%T %J International Journal of Computer Applications %V 120 %N 16 %P 33-37 %R 10.5120/21314-4297 %I Foundation of Computer Science (FCS), NY, USA
The proposed research objective is to add to a framework for programmed recognition of sound. In this framework the real errand is to distinguish any information sound stream investigate it & anticipate the likelihood of diverse sounds show up in it. To create and industrially conveyed an adaptable sound web crawler a flexible sound search engine. The calculation is clamor and contortion safe, computationally productive, and hugely adaptable, equipped for rapidly recognizing a short portion of sound stream caught through a phone microphone in the presence of frontal area voices and other predominant commotion, and through voice codec pressure, out of a database of over accessible tracks. The algorithm utilizes a combinatorial hashed time-recurrence group of stars examination of the sound, yielding ordinary properties, for example, transparency, in which numerous tracks combined may each be distinguished.