Neuro Based Approach for Speech Recognition by Using Mel-Frequency Cepstral Coefficients

Download Now Free registration required

Executive Summary

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.

  • Format: PDF
  • Size: 263.85 KB