Speech Recognition Based Automated Credit Card Module
In this paper, the authors present an approach to the recognition of speech signal using frequency spectral information with Mel frequency for the improvement of speech feature representation in a HMM based recognition approach. The Mel frequency approach exploits the frequency observation for speech signal in a given resolution which results in resolution feature overlapping resulting in recognition limit. Resolution decomposition with frequency mapping approach for a HMM based speech recognition system. The simulation results show an improvement in the quality metrics of speech recognition w.r.t. to computational time, learning accuracy for a speech recognition system.