An Enhanced Speech Recognition System

Provided by: International Journal of Recent Development in Engineering and Technology (IJRDET)
Topic: Enterprise Software
Format: PDF
In this paper, the authors describe the development of an efficient speech recognition system using various techniques such as Mel Frequency Cepstrum Coefficients (MFCC), Vector Quantization (VQ), Hidden Markov Model (HMM) and auto-correlation. In this paper, a method to recognize the speech faster with more accuracy, speaker recognition is followed by speech recognition. MFCC/autocorrelation is used to extract the characteristics from the input speech signal with respect to a particular word uttered by a particular speaker.

Find By Topic