Speech Recognition using Neuro Fuzzy Network
Maitri Shah, Yash Sharma · International journal of advance research and innovative ideas in education · 2017
Many popular algorithms are used to recognize the human voice. The good algorithms results high accuracy in recognition and robustness to the noises. In this research the performance of Neuro fuzzy system is verified for human voice recognition. Different set of words in Gujarati and English language are recorded in this research and are used as data sets in this experiment which can be applied to some instrument for different applications in future. Thus, this experiment shows that the Neuro fuzzy system is quiet robust to noise and can yield higher recognition results compared to other popular algorithms. Although speech recognition using Neuro fuzzy products are already available in the market at present their development is mainly based on statistical techniques which work under very specific assumptions. We elaborate the feasibility of an alternative approach for solving the problems more efficiently.