Background: The computer assisted speech recognition system enabling voice recognition
for understanding the spoken words using sound digitization is extensively being used in the
field of education, scientific research, industry, etc.
Objective: This article unveils the technological perspective of automated speech recognition system
in order to realize the spoken English speech recognition system based on MATLAB.
Methods: A speech recognition technology has been designed and implemented in this work which
can collect the speech signals of the spoken English learning system and then filter those speech
signals. This paper mainly adopts the preprocessing module for the processing of the raw speech
data collected utilizing the MATLAB commands. The method of feature extraction is based on
HMM model, codebook generation and template training.
Results: The research results show that the recognition accuracy of 98% is achieved by the spoken
English speech recognition system studied in this paper. It can be seen that the spoken English
speech recognition system based on MATLAB has high recognition accuracy and fast speed.
Conclusion: This work addresses the current research issued needed to be tackled in the speech
recognition field. This approach is able to provide the technical support and interface for the spoken
English learning system.