International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 93 - Number 10 |
Year of Publication: 2014 |
Authors: Varsha Gupta, Anuj Sharma |
10.5120/16248-5845 |
Varsha Gupta, Anuj Sharma . Classification of the Spoken Hindi Partially Reduplicated Words using Artificial Neural Network. International Journal of Computer Applications. 93, 10 ( May 2014), 1-6. DOI=10.5120/16248-5845
The most ordinary way of information exchange is Speech. It provides an efficient way of man-machine communication using speech interfacing. Speech interfacing involves two process, speech synthesis and speech recognition. Speech recognition allows a computer to identify the words that a person speaks to a microphone or telephone. The two main mechanism, used in speech recognition, are signal processing mechanism at front-end and pattern matching mechanism at back-end. In this paper, a setup for recognition of Spoken Hindi Partially Reduplicated Words (SHPRW), that uses Mel frequency cepstral coefficients at front-end and artificial neural networks at back-end has been developed to perform the experiment.