A Vector Quantization Approach for Voice Recognition Using Mel Frequency Cepstral Coefficient (MFCC): A Review
Anjali Jain · 2013
This paper presents a brief survey on Automatic Voice Recognition so as to provide a technological perspective and an appreciation of the fundamental progress that has been accomplished in area of voice communication. The voice is a signal of infinite information. After years of research and development the accuracy of automatic voice recognition remains one of the important research challenges in respect to variations of the speakers, text and surroundings. Digital processing of voice recognition and speech signal is very important for fast and accurate automatic voice recognition technology. This review paper summarizes and compares some of the well known methods used in various stages of voice recognition system. It further helps to identify research topic and applications which are at the forefront of this exciting and challenging field of voice recognition.