Neuro Based Approach for Speech Recognition by Using Mel-Frequency Cepstral Coefficients
This paper presents continuous speech recognition system based on neural network concept. Features are extracted and the data is compressed using Mel-frequency Cepstral coefficients method. These Mel-frequency Cepstral coefficients are used as inputs to train neural networks. Neural networks are useful to solve complex problems which do not require accurate solution. The back-propagation algorithm is used in multilayer perceptron. The solution found in this approach is convergent. This paper is aimed at speech recognition using multilayer perceptron neural networks. A small vocabulary of 11 words were established first, these words are upload, search, browse, import, export, send, remove, attach, help, format, and install.