A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf
.
Speech Recognition with Advanced Feature Extraction Methods Using Adaptive Particle Swarm Optimization
2016
International Journal of Intelligent Engineering and Systems
Nowadays, speech recognition applications are becoming increasingly effective. In the market, different interactive speech aware applications are obtainable. In this work, from the input speech signal by recognizing the content involves three stages such as the preprocessing, feature extraction and Multi Support Vector Machine (SVM). The signal is processed and noise free signal is produced by processing the signal and the features are extracted. For optimize these features different
doi:10.22266/ijies2016.1231.03
fatcat:f6y5ktmqlvgonkiocqenb3pyke